Biomedical engineering / Medical engineering Books
Elsevier Science Computational Biomechanics of Human Joints
£144.00
Elsevier Science Medical Devices in Modern Healthcare
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£152.14
Elsevier Science Recent Advances in Computational Intelligence Applications for Biometrics and Biomedical Devices
£146.69
£131.39
Elsevier Science AI and Data Science in Healthcare 5.0
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£131.39
£146.69
Taylor & Francis Ltd The Physics of Medical Imaging Second Edition
Book SynopsisSince the publication of the best-selling, highly acclaimed first edition, the technology and clinical applications of medical imaging have changed significantly. Gathering these developments into one volume, Webb's Physics of Medical Imaging, Second Edition presents a thorough update of the basic physics, modern technology and many examples of clinical application across all the modalities of medical imaging.New to the Second Edition Extensive updates to all original chapters Coverage of state-of-the-art detector technology and computer processing used in medical imaging 11 new contributors in addition to the original team of authors Two new chapters on medical image processing and multimodality imaging More than 50 percent new examples and over 80 percent new figures Glossary of abbreviations, color insert and contents lists at the beginning of each chapter Keeping the maTrade Review"For those who have the first edition and found it useful, this edition would be very worthwhile to purchase. Based on my (albeit limited) review, the editor and contributors have done a good job making extensive updates. …the advantage is that each chapter is written by one or more specialists. This would make an excellent reference for medical physicists and should be an excellent textbook for a second course in medical imaging..."—Steven T. Ratliff, PhD, St. Cloud State University, Minnesota, USA"… a cohesive textbook … The editor’s aim was to keep the contents in one, manageable book while retaining accessibility for student use. Overall, in spite of the many new developments included, the challenge has been met. Chapters on the main imaging modalities have been overhauled … replaced with up-to-date examples. … This book is excellent value for the money and a strong contender as a textbook for master’s level courses. Buy one early on, and this is a book that you’ll consult throughout your career."—Elizabeth Berry, SCOPE, June 2013"Possibly the most comprehensive book on the subject currently on the market."—Dr. Sandro Olivo, University College London"I do not feel that this book is intended for technologists trying to increase their knowledge in the clinical setting. Rather, it seems to be designed for technologists in a research setting or for graduate students. … Most of the diagrams and charts are easy to understand, and the glossary of abbreviations at the beginning of the book is helpful. … the book does explain reasons for artifacts in medical imaging so that they can be avoided as much as possible in daily practice. … useful to keep this reference text in the imaging department for technical questions that may arise."—Gail M. Kurpinski, Radiologic Technology, March/April 2013Praise for the First Edition:Steve Webb has produced a first-class book. Because The Physics of Medical Imaging is up to date in a rapidly changing field, it is the text of choice for teaching graduate research students in this new and exciting subspeciality of physics.—Physics Today… a worthwhile addition to the personal library of anyone connected with this field.—Journal of Clinical Physics and Physiological MeasurementFor all those requiring a comprehensive review of medical imaging techniques, at a fairly basic level, this text is highly recommended.—Australian PhysicistThis is a book well worth the money and I can strongly recommend it both as desk and bedside reading.—HPA BulletinDevelopments in digital radiography, together with an analysis of the computing requirements of the various techniques, complete this excellent text. The authors have done a remarkable job in covering such a wide subject so well in such a short book.—Image Processing MagazineThis is an excellent publication and represents much dedication and hard work on behalf of the authors and, in particular, the editor. —RAD MagazineTable of ContentsIn the Beginning: The Origins of Medical Imaging. Diagnostic Radiology with X-Rays. X-Ray Transmission Computed Tomography. Clinical Applications of X-Ray Computed Tomography in Radiotherapy Planning. Radioisotope Imaging. Diagnostic Ultrasound. Spatially Localised Magnetic Resonance. Physical Aspects of Infrared Imaging. Imaging of Tissue Electrical Impedance. Optical Imaging. Mathematics of Image Formation and Image Processing. Medical Image Processing. Perception and Interpretation of Images. Computer Requirements of Imaging Systems. Multimodality Imaging. Epilogue. Index.
£82.64
Taylor & Francis Ltd Electromagnetic Fields of Wireless Communications
Book SynopsisThis book reflects contributions from experts in biological and health effects of Radio Frequency (RF)/Microwave and Extremely Low Frequency (ELF) Electromagnetic Fields (EMFs) used in wireless communications (WC) and other technological applications. Diverse topics related to physics, biology, pathology, epidemiology, and plausible biophysical and biochemical mechanisms of WC EMFs emitted by antennas and devices are included. Discussions on the possible consequences of fifth generation (5G) mobile telephony (MT) EMFs based on available data and correlation between anthropogenic EMF exposures and various pathological conditions such as infertility, cancer, electro-hypersensitivity, organic and viral diseases, and effects on animals, plants, trees, and environment are included. It further illustrates individual and public health protection and the setting of biologically- and epidemiologically-based exposure limits.Features: Covers bioTable of Contents1: Defining Wireless Communication (WC) Electromagnetic Fields (EMFs): A. Polarization is a principal property of all man-made EMFs. B. Modulation, Pulsation, and Variability are inherent parameters of WC EMFs. C. Most man-made EMF-exposures are Non-Thermal. D. Measuring incident EMFs is more relevant than SAR. E. All man-made EMFs emit continuous waves, not photons. F. Differences from natural EMFs. Interaction with matter. 2: Public Health implications of exposure to Wireless Communication Electromagnetic Fields. 3: Oxidative Stress induced by Wireless Communication Electromagnetic Fields. 4: Genotoxic Effects of Wireless Communication Electromagnetic Fields. 5: DNA and Chromosome Damage in human and animal cells, induced by Mobile Telephony EMFs and other stressors. 6: The impacts of Wireless Communication Electromagnetic Fields on human reproductive biology. 7: Effects of Wireless Communication Electromagnetic Fields on human and animal brain activity. 8: Electrohypersensitivity as a worldwide man-made electromagnetic pathology: a review of the medical evidence. 9: Carcinogenic effects of non-thermal exposure to Wireless Communication Electromagnetic Fields. 10: Effects of man-made and especially Wireless Communication Electromagnetic Fields on Wild Life. 11: Mechanism of Ion Forced-Oscillation and Voltage-Gated Ion Channel Dysfunction by Polarized and Coherent Electromagnetic Fields. 12: Electromagnetic Field-induced dysfunction of Voltage-Gated Ion Channels, Oxidative Stress, DNA damage and related pathologies
£166.25
Taylor & Francis Ltd MultiPronged Omics Technologies to Understand
Book SynopsisCOVID-19 and Omics Technologies is a comprehensive, integrative assessment of recent information and knowledge collected on SARS-CoV-2 and COVID-19 during the pandemic based on omics technologies. It demonstrates how omics technologies could better investigate the infectious disease and propose solutions to the current concerns.The value of multi-omics technologies in understanding disease etiology and host response, discovering infection biomarkers and illness prediction, identifying vaccine candidates, discovering therapeutic targets, and tracing pathogen evolution is discussed in this book. These factors combine to make it a valuable resource to enhance understanding of both Omics technology and COVID-19 as a disease. The book covers the most recent understanding of COVID-19 and the applications of cutting-edge studies, making it accessible to a large multidisciplinary readership.The book explains how high-throughput technologies and systems biology might assist to Table of ContentsClinical and Epidemiological Context Of COVID-19. NGS technologies for detection of SARS-CoV-2 strains and mutations. Mass-spectrometry techniques for detection of COVID-19 viral and host proteins using naso-oropharyngeal swab and plasma. Targeted proteomic approaches in context of the COVID-19 pandemic. Metabolomics: Role in pathobiology and therapeutics of COVID-19. Protein microarrays for COVID-19 research: biomarker discovery, humoral response & vaccine targets. COVID-19 pathogenesis and host immune response. Putative role of multi-omics technologies in the investigation of the persistent effects of COVID-19 on vital human organs. Insights on interactomics driven drug repurposing to combat COVID-19. Spectroscopy methods for SARS-CoV-2 detection. Role of AI and ML in empowering and solving problems linked to COVID-19 pandemic.
£112.50
CRC Press Smart Distributed Embedded Systems for Healthcare
Book SynopsisThis book discusses the applications and optimization of emerging smart technologies in the field of healthcare. It further explains different modeling scenarios of the latest technologies in the healthcare system and compares the results to better understand the nature and progress of diseases in the human body, which would ultimately lead to early diagnosis and better treatment and cure of diseases with the help of distributed technology. Covers the implementation models using technologies such as artificial intelligence, machine learning, and deep learning with distributed systems for better diagnosis and treatment of diseases. Gives in-depth review of technological advancements like advanced sensing technologies such as plasmonic sensors, usage of RFIDs, and electronic diagnostic tools in the field of healthcare engineering. Discusses possibilities of augmented reality and virtual reality interventions for providing unique solutions in medical science, clinical research, psychology, and neurological disorders. Highlights the future challenges and risks involved in the application of smart technologies such as cloud computing, fog computing, IOT, and distributed computing in healthcare. Confers to utilize the AI and ML and associated aids in healthcare sectors in the post-Covid 19 period to revitalize the medical setup. Contributions included in the book will motivate technological developers and researchers to develop new algorithms and protocols in the healthcare field. It will serve as a vast platform for gaining knowledge regarding healthcare delivery, health- care management, healthcare in governance, and health monitoring approaches using distributed environments. It will serve as an ideal reference text for graduate students and researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical fields.
£56.80
Taylor & Francis Ltd Explainable AI in Healthcare
Book SynopsisThis title covers computer vision and machine learning (ML) advances that facilitate automation in diagnostic, therapeutic, and preventative healthcare. The book shows the development of algorithms and architectures for healthcare. Table of Contents1. Human–AI Relationship in Healthcare. 2. Deep Learning in Medical Image Analysis: Recent Models and Explainability. 3. An Overview of Functional Near-Infrared Spectroscopy and Explainable Artificial Intelligence in fNIRS. 4. An Explainable Method for Image Registration with Applications in Medical Imaging. 5. State-of-the-Art Deep Learning Method and Its Explainability for Computerized Tomography Image Segmentation. 6. Interpretability of Segmentation and Overall Survival for Brain Tumors. 7. Identification of MR Image Biomarkers in Brain Tumor Patients Using Machine Learning and Radiomics Features. 8. Explainable Artificial Intelligence in Breast Cancer Identification. 9. Interpretability of Self-Supervised Learning for Breast Cancer Image Analysis. 10. Predictive Analytics in Hospital Readmission for Diabetes Risk Patients. 11. Continuous Blood Glucose Monitoring Using Explainable AI Techniques. 12. Decision Support System for Facial Emotion-Based Progression Detection of Parkinson’s Patients. 13. Interpretable Machine Learning in Athletics for Injury Risk Prediction. 14. Federated Learning and Explainable AI in Healthcare.
£89.99
CRC Press Designing Simple Instructions for Medical Products
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£999.99
CRC Press Analytical Case Studies on Municipal and
Book SynopsisEffective waste management practices are essential to mitigate unfavourable impacts and achieve the Sustainable Development Goals. This book covers perspectives addressing the Sustainable Development Goals through analytical and case studies on municipal and biomedical waste management. It consists of ten selectively curated highly technical chapters covering various aspects of achieving the Sustainable Development Goals through applying effective waste management strategies and practices through practical case studies and examples.Features: Analysis of over 30 real-life case studies reviewed from local as well as global perspectives Discusses application of technologies in real time Addresses the 17 Sustainable Development Goals at ground level Covers a broad range of case studies on municipal solid waste and biomedical waste treatment and management Reviews the latest evidence-based approach in diagnosis and management
£48.99
CRC Press Artificial Intelligence in Medicine and
Book Synopsis
£999.99
CRC Press Decentralized Healing
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£114.00
Wiley Biomaterials Science Processing Properties and Applications
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£109.76
John Wiley & Sons Inc Internet of Healthcare Things
Book SynopsisINTERNET OF HEALTHCARE THINGS The book addresses privacy and security issues providing solutions through authentication and authorization mechanisms, blockchain, fog computing, machine learning algorithms, so that machine learning-enabled IoT devices can deliver information concealed in data for fast, computerized responses and enhanced decision-making. The main objective of this book is to motivate healthcare providers to use telemedicine facilities for monitoring patients in urban and rural areas and gather clinical data for further research. To this end, it provides an overview of the Internet of Healthcare Things (IoHT) and discusses one of the major threats posed by it, which is the data security and data privacy of health records. Another major threat is the combination of numerous devices and protocols, precision time, data overloading, etc. In the IoHT, multiple devices are connected and communicate through certain protocols. Therefore, the application of emTable of ContentsPreface xiii Section 1: Security and Privacy Concern in IoHT 1 1 Data Security and Privacy Concern in the Healthcare System 3Ahuja Sourav 1.1 Introduction 3 1.2 Privacy and Security Concerns on E-Health Data 6 1.3 Levels of Threat to Information in Healthcare Organizations 6 1.4 Security and Privacy Requirement 9 1.5 Security of Healthcare Data 11 1.5.1 Existing Solutions 11 1.5.2 Future Challenges in Security and Privacy in the Healthcare Sector 15 1.5.3 Future Work to be Done in Security and Privacy in the Healthcare Sector 16 1.6 Privacy-Preserving Methods in Data 18 1.7 Conclusion 22 References 23 2 Authentication and Authorization Mechanisms for Internet of Healthcare Things 27Srinivasan Lakshmi Narasimhan 2.1 Introduction 28 2.2 Stakeholders in IoHT 29 2.3 IoHT Process Flow 31 2.4 Sources of Vulnerability 33 2.5 Security Features 34 2.6 Challenges to the Security Fabric 35 2.7 Security Techniques—User Authentication 36 2.8 Conclusions 37 References 38 3 Security and Privacy Issues Related to Big Data-Based Ubiquitous Healthcare Systems 41Jaspreet Singh 3.1 Introduction 41 3.2 Big Data Privacy & Security Issues 42 3.3 Big Data Security Problem 43 3.3.1 Big Data Security Lifecycle 44 3.3.2 Threats & Attacks on Big Data 47 3.3.3 Current Technologies in Use 48 3.4 Privacy of Big Data in Healthcare 50 3.4.1 Data Protection Acts 50 3.4.1.1 HIPAA Compliance 50 3.4.1.2 HIPAA Five Rules 53 3.5 Privacy Conserving Methods in Big Data 56 3.6 Conclusion 60 References 61 Section 2: Application of Machine Learning, Blockchain and Fog Computing on IoHT 65 4 Machine Learning Aspects for Trustworthy Internet of Healthcare Things 67Pradeep Bedi, S.B. Goyal, Jugnesh Kumar and Preetishree Patnaik 4.1 Introduction 68 4.2 Overview of Internet of Things 69 4.2.1 Application Area of IoT 72 4.2.1.1 Wearable Devices 73 4.2.1.2 Smart Home Applications 73 4.2.1.3 Healthcare IoT Applications 73 4.2.1.4 Smart Cities 73 4.2.1.5 Smart Agriculture 74 4.2.1.6 Industrial Internet of Things 74 4.3 Security Issues of IoT 74 4.3.1 Authentication 75 4.3.2 Integrity 75 4.3.3 Confidentiality 75 4.3.4 Non-Repudiation 75 4.3.5 Authorization 76 4.3.6 Availability 76 4.3.7 Forward Secrecy 76 4.3.8 Backward Secrecy 76 4.4 Internet of Healthcare Things (IoHT): Architecture and Challenges 76 4.4.1 IoHT Support 77 4.4.2 IoHT Architecture and Data Processing Stages 78 4.4.3 Benefits Associated With Healthcare Based on the IoT 80 4.4.4 Challenges Faced by IoHT 81 4.4.5 Needs in IoHT 81 4.5 Security Protocols in IoHT 82 4.5.1 Key Management 83 4.5.2 User/Device Authentication 83 4.5.3 Access Control/User Access Control 83 4.5.4 Intrusion Detection 83 4.6 Application of Machine Learning for Intrusion Detection in IoHT 84 4.7 Proposed Framework 86 4.8 Conclusion 90 References 90 5 Analyzing Recent Trends and Public Sentiment for Internet of Healthcare Things and Its Impact on Future Health Crisis 95Upendra Dwivedi 5.1 Introduction 96 5.2 Literature Review 97 5.3 Overview of the Internet of Healthcare Things 100 5.4 Performing Topic Modeling on IoHTs Dataset 104 5.5 Performing Sentiment Analysis on IoHTs Dataset 107 5.6 Conclusion and Future Scope 110 References 111 6 Rise of Telemedicine in Healthcare Systems Using Machine Learning: A Key Discussion 113Shaweta Sachdeva and Aleem Ali 6.1 Introduction 114 6.2 Types of Machine Learning 115 6.3 Telemedicine Advantages 115 6.4 Telemedicine Disadvantages 116 6.5 Review of Literature 116 6.6 Fundamental Key Components Needed to Begin Telemedicine 118 6.6.1 Collaboration Instruments 118 6.6.2 Clinical Peripherals 119 6.6.3 Work Process 119 6.6.4 Cloud-Based Administrations 119 6.7 Types of Telemedicine 119 6.7.1 Store-and-Forward Method 119 6.7.1.1 Telecardiology 120 6.7.1.2 Teleradiology 121 6.7.1.3 Telepsychiatry 121 6.7.1.4 Telepharmacy 121 6.7.2 Remote Monitoring 123 6.7.3 Interactive Services 123 6.8 Benefits of Telemedicine 124 6.9 Application of Telemedicine Using Machine Learning 125 6.10 Innovation Infrastructure of Telemedicine 125 6.11 Utilization of Mobile Wireless Devices in Telemedicine 126 6.12 Conclusion 127 References 128 7 Trusted Communication in the Healthcare Sector Using Blockchain 131Balasamy K. 7.1 Introduction 131 7.2 Overview of Blockchain 133 7.3 Medical IoT Concerns 134 7.3.1 Security Concerns 134 7.3.2 Privacy Concerns 135 7.3.3 Trust Concerns 135 7.4 Needs for Security in Medical IoT 135 7.5 Uses of Blockchain in Healthcare 137 7.6 Solutions for IoT Healthcare Cyber-Security 138 7.6.1 Architecture of the Smart Healthcare System 139 7.6.1.1 Data Perception Layer 139 7.6.1.2 Data Communication Layer 140 7.6.1.3 Data Storage Layer 140 7.6.1.4 Data Application Layer 140 7.7 Executions of Trusted Environment 140 7.7.1 Root of Trust Security Services 141 7.7.2 Chain of Trust Security Services 143 7.8 Patient Registration Using Medical IoT Devices 144 7.8.1 Encryption 145 7.8.2 Key Generation 146 7.8.3 Security by Isolation 146 7.8.4 Virtualization 146 7.9 Trusted Communications Using Blockchain 149 7.9.1 Record Creation Using IoT Gateways 150 7.9.2 Accessibility to Patient Medical History 151 7.9.3 Patient Enquiry With the Hospital Authority 151 7.9.4 Blockchain-Based IoT System Architecture 151 7.9.4.1 First Layer 151 7.9.4.2 Second Layer 152 7.9.4.3 Third Layer 152 7.10 Combined Workflows 152 7.10.1 Layer 1: The Gateway Collects IoT Data and Generates a New Record 152 7.10.2 Layer 2: Gateway/Authority Want to Access Patient’s Medical Record 153 7.10.3 Layer 3: Patient Visits and Interact With an Authority 153 7.11 Conclusions 154 References 154 8 Blockchain in Smart Healthcare Management 161Jayant Barak, Harshwardhan Chaudhary, Rakshit Mangal, Aarti Goel and Deepak Kumar Sharma 8.1 Introduction 162 8.2 Healthcare Industry 163 8.2.1 Classification of Healthcare Services 163 8.2.2 Health Information Technology (HIT) 164 8.2.3 Issues and Challenges Faced by Major Stakeholders in the Healthcare Industry 165 8.2.3.1 The Patient 166 8.2.3.2 The Pharmaceutical Industry 166 8.2.3.3 The Healthcare Service Providers 166 8.2.3.4 The Government 167 8.2.3.5 Insurance Company 167 8.3 Blockchain Technology 168 8.3.1 Important Terms 168 8.3.2 Features of Blockchain 170 8.3.2.1 Decentralization 170 8.3.2.2 Immutability 170 8.3.2.3 Transparency 171 8.3.2.4 Smart Contracts 171 8.3.3 Workings of a Blockchain System 171 8.3.4 Applications of Blockchain 173 8.3.4.1 Financial Services 173 8.3.4.2 Healthcare 173 8.3.4.3 Supply Chain 173 8.3.4.4 Identity Management 173 8.3.4.5 Voting 173 8.3.5 Challenges and Drawbacks of Blockchain 174 8.4 Applications of Blockchain in Healthcare 176 8.4.1 Electronic Medical Records (EMR) and Electronic Health Records (EHR) 176 8.4.2 Management System 177 8.4.3 Remote Monitoring/IoMT 178 8.4.4 Insurance Industry 179 8.4.5 Drug Counterfeiting 180 8.4.6 Clinical Trials 182 8.4.7 Public Health Management 182 8.5 Challenges of Blockchain in Healthcare 183 8.6 Future Research Directions 184 8.7 Conclusion 185 References 186 Section 3: Case Studies of Healthcare 189 9 Organ Trafficking on the Dark Web—The Data Security and Privacy Concern in Healthcare Systems 191Romil Rawat, Bhagwati Garg, Vinod Mahor, Shrikant Telang, Kiran Pachlasiya and Mukesh Chouhan 9.1 Introduction 192 9.2 Inclination for Cybersecurity Web Peril 194 9.3 Literature Review 197 9.4 Market Paucity or Organ Donors 199 9.5 Organ Harvesting and Transplant Tourism Revenue 203 9.6 Social Web Net Crimes 204 9.7 DW—Frontier of Illicit Human Harvesting 209 9.8 Organ Harvesting Apprehension 209 9.9 Result and Discussions 212 9.10 Conclusions 212 References 213 10 Deep Learning Techniques for Data Analysis Prediction in the Prevention of Heart Attacks 217C.V. Aravinda, Meng Lin, Udaya Kumar, Reddy K.R. and G. Amar Prabhu Abbreviations 218 10.1 Introduction 218 10.2 Literature Survey 219 10.3 Materials and Method 221 10.3.1 Cohort Study 222 10.4 Training Models 222 10.4.1 Artificial Neural Network (ANN) 222 10.4.2 K-Nearest Neighbor Classifier 224 10.4.3 Naïve Bayes Classifier 225 10.4.4 Decision Tree Classifier (DTC) 226 10.4.5 Random Forest Classifier (RFC) 226 10.4.6 Neural Network Implementation 226 10.5 Data Preparation 227 10.5.1 Multi-Layer Perceptron Neural Network (MLPNN) Algorithm and Prediction 227 10.6 Results Obtained 228 10.6.1 Accuracy 228 10.6.2 Data Analysis 228 10.7 Conclusion 236 References 236 11 Supervising Healthcare Schemes Using Machine Learning in Breast Cancer and Internet of Things (SHSMLIoT) 241Monika Lamba, Geetika Munjal and Yogita Gigras 11.1 Introduction 242 11.2 Related Work 245 11.3 IoT and Disease 250 11.4 Research Materials and Methods 251 11.4.1 Dataset 251 11.4.2 Data Pre-Processing 252 11.4.3 Classification Algorithms 252 11.5 Experimental Outcomes 253 11.6 Conclusion 257 References 258 12 Perspective-Based Studies of Trust in IoHT and Machine Learning-Brain Cancer 265Sweta Kumari, Akhilesh Kumar Sharma, Sandeep Chaurasia and Shamik Tiwari 12.1 Introduction 266 12.2 Literature Survey 267 12.3 Illustration of Brain Cancer 268 12.3.1 Brain Tumor 268 12.3.2 Types of Brain Tumors 269 12.3.3 Grades of Brain Tumors 270 12.3.4 Symptoms of Brain Tumors 271 12.4 Sleuthing and Classification of Brain Tumors 273 12.4.1 Sleuthing of Brain Tumors 273 12.4.2 Challenges During Classification of Brain Tumors 274 12.5 Survival Rate of Brain Tumors 274 12.6 Conclusion 278 References 279 Index 281
£999.99
Taylor & Francis Ltd Assistive Technology for Blindness and Low Vision
Book SynopsisAssistive technology has made it feasible for individuals with a wide range of impairments to engage in many activities, such as education and employment, in ways not previously possible. The key factor is to create consumer-driven technologies that solve the problems by addressing the needs of persons with visual impairments. Assistive Technology for Blindness and Low Vision explores a broad range of technologies that are improving the lives of these individuals. Presenting the current state of the art, this book emphasizes what can be learned from past successful products, as well as what exciting new solutions the future holds.Written by world-class leaders in their field, the chapters cover the physiological bases of vision loss and the fundamentals of orientation, mobility, and information access for blind and low vision individuals. They discuss technology for multiple applications (mobility, wayfinding, information access, education, work, entertainmeTable of ContentsIntroduction. Vision and Vision Rehabilitation. Orientation and Mobility. Low Vision: Types of Vision Loss and Common Effects on Activities of Daily Life. Accessible Global Positioning Systems. Development, Evaluation, and Lessons Learned: A Case Study of Talking Signs® Remote Infrared Audible Signage. Evaluating the Effectiveness of Assistive Travel and Wayfinding Devices for Persons Who Are Blind or Visually Impaired. Sensory Substitution of Vision: Importance of Perceptual and Cognitive Processing. Tactile Reading: Tactile Understanding. Camera-Based Access to Visual Information. Screenreaders, Magnifiers, and Other Ways of Using Computers. Tools for Improving Web Accessibility for Blind Persons. Accessible DAISY Multimedia: Making Reading Easier for All. Math and the Blind. Video Games for Users with Visual Impairments. Descriptive Video Services. Employment, Technology, and Blind People: A Personal Perspective.
£52.24
Taylor & Francis Ltd Bioengineering and Biophysical Aspects of
Book SynopsisThe two volumes of this new edition of the Handbook cover the basic biological, medical, physical, and electrical engineering principles. They also include experimental results concerning how electric and magnetic fields affect biological systemsboth as potential hazards to health and potential tools for medical treatment and scientific research. They also include material on the relationship between the science and the regulatory processes concerning human exposure to the fields. Like its predecessors, this edition is intended to be useful as a reference book but also for introducing the reader to bioelectromagnetics or some of its aspects.FEATURES New topics include coverage of electromagnetic effects in the terahertz region, effects on plants, and explicitly applying feedback concepts to the analysis of biological electromagnetic effects Expanded coverage of electromagnetic brain stimulation, characterization and modeling of epithelial wTable of Contents0 Introduction to Electromagnetic Fields. 1 Environmental and Occupational DC and Low Frequency Electromagnetic Fields. 2 Intermediate and Radiofrequency Sources and Exposures in Everyday Environments. 3 Endogenous Bioelectric Phenomena and Interfaces for Exogenous Effects. 4 Electric and Magnetic Properties of Biological Materials. 5 Interaction of Static and Extremely Low-Frequency Electric Fields with Biological Materials and Systems. 6 Magnetic Field Interactions with Biological Materials. 7 Mechanisms of Action in Bioelectromagnetics. 8 Signals, Noise, and Thresholds. 9 Computational Methods for Predicting Electromagnetic Fields and Temperature Increase in Biological Bodies. 10 Experimental Dosimetry. 11 Overcoming the Irreproducibility Barrier: Considerations to Improve the Quality of Experimental Practice When Investigating the Effects of Low-Level Electric and Magnetic Fields on In Vitro Biological Systems. 12 Radio Frequency Exposure Standards.
£157.50
Cambridge University Press The Fluid Dynamics of Cell Motility
Book SynopsisFluid dynamics plays a crucial role in many cellular processes, including the locomotion of cells such as bacteria and spermatozoa. These organisms possess flagella, slender organelles whose time periodic motion in a fluid environment gives rise to motility. Sitting at the intersection of applied mathematics, physics and biology, the fluid dynamics of cell motility is one of the most successful applications of mathematical tools to the understanding of the biological world. Based on courses taught over several years, it details the mathematical modelling necessary to understand cell motility in fluids, covering phenomena ranging from single-cell motion to instabilities in cell populations. Each chapter introduces mathematical models to rationalise experiments, uses physical intuition to interpret mathematical results, highlights the history of the field and discusses notable current research questions. All mathematical derivations are included for students new to the field, and end-of-Table of ContentsPart I. Fundamentals: 1. Biological background; 2. The fluid dynamics of microscopic locomotion; 3. The waving sheet model; 4. The squirmer model; Part II. Cellular locomotion: 5. Flagella and the physics of viscous propulsion; 6. Hydrodynamics of slender filaments; 7. Waving of eukaryotic flagella; 8. Rotation of bacterial flagellar filaments; 9. Flows and stresses induced by cells; Part III. Interactions: 10. Swimming cells in flows; 11. Self-propulsion and surfaces; 12. Hydrodynamic synchronisation; 13. Diffusion and noisy swimming; 14. Hydrodynamics of collective locomotion; 15. Locomotion and transport in complex fluids; References; Index.
£41.79
Springer Us Low Power Analog CMOS for Cardiac Pacemakers
Book SynopsisLow Power Analog CMOS for Cardiac Pacemakers proposes new techniques for the reduction of power consumption in analog integrated circuits. There from, the book discusses the means for reduction of power consumption at three levels: base technology, power-oriented analytical synthesis procedures and circuit architecture.Table of ContentsAcknowledgements. Preface. 1. Implantable Cardiac Pacemakers. 2. Industrial Implementation of Pacemaker Integrated Circuit in Bulk CMOS Technology. 3. Potential of SOI Technology for Low-Voltage Micropower Biomedical Applications. 4. Power Optimization in Operational Amplifier Design. 5. Class AB Micropower Operations Amplifiers. 6. Implementation of Pacemaker Sense Circuits. Appendix 1: Integration of Large Time Constants. Appendix 2: Design of Accelerometer Signal Conditioning Circuit of Industrial Pacemaker IC in Bulk CMOS Technology. Bibliography. Index.
£999.99
Royal Society of Chemistry Biological and Biomimetic Adhesives: Challenges
Book SynopsisDue to their impressive performance biological adhesives have inspired the development of superior industrial adhesives. Biological adhesives often provide elegant solutions to engineering and biomedical requirements and are expected to inspire future technological innovations for adhesives for use in hostile conditions. Containing a selection of papers presented at the 1st International Conference on Biological and Biomimetic Adhesives, this book will showcase the latest advances in the chemical and structural characterisation of adhesives, the mechanical testing of adhesives and theory, fabrication and applications of biomimetic adhesives. Following the work of COST Action TD0909, the aim is to gain greater understanding of the mode of action of biological adhesives to allow successful development of improved synthetic counterparts. Appealing to a wide range of researchers in biology, chemistry, physics and engineering, the title provides the background and drive to improve scientific and technological progress in this important area.Table of ContentsBioadhesive Characterisation; Modelling of Biomimetic Systems; Targeting Specific Applications; Surface Modification for Optimal Bonding/Debonding; Conference outlook
£132.99
Springer Nature Switzerland AG Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)
Book SynopsisThese are the proceedings of the International Conference on ISMAC-CVB, held in Palladam, India, in May 2018. The book focuses on research to design new analysis paradigms and computational solutions for quantification of information provided by object recognition, scene understanding of computer vision and different algorithms like convolutional neural networks to allow computers to recognize and detect objects in images with unprecedented accuracy and to even understand the relationships between them.The proceedings treat the convergence of ISMAC in Computational Vision and Bioengineering technology and includes ideas and techniques like 3D sensing, human visual perception, scene understanding, human motion detection and analysis, visualization and graphical data presentation and a very wide range of sensor modalities in terms of surveillance, wearable applications, home automation etc.ISMAC-CVB is a forum for leading academic scientists, researchers and research scholars to exchange and share their experiences and research results about all aspects of computational vision and bioengineering.Table of ContentsChapter 1. Digital Image Watermarking using Sine Transformation Technique.- Chapter 2. A Review on Protein Structure Classification.- Chapter 3. Motion Detection Algorithm for Surveillance Videos.- Chapter 4. 6D Pose Estimation of 3D Objects in Scenes with Mutual Similarities and Occlusions .- Chapter 5. A Simple and Enhanced Low-Light Image Enhancement Process Using Effective Illumination Mapping Approach.- Chapter 6. Comparison of Particle Swarm Optimization and Weighted Artificial Bee Colony Techniques in Classification of Dementia Using MRI Images.- Chapter 7. Automatic Segmentation of Malaria Affected Erythrocyte in Thin Blood Films.- Chapter 8. Enhanced Portable Customer Experience Using Community Computation in Offline Retail.- Chapter 9. Detection and Recognition Of Vehicle Using Principal Component Analysis.- Chapter 10. Convolution Neural Networks: A Case Study on Brain Tumor Segmentation in Medical Care.- Chapter 11. Vision based algorithm for fire detection in smart buildings.- Chapter 12. Comparative performance analysis of local feature descriptors for biomedical image retrieval.- Chapter 13. Emotion Analysis Through EEG & Peripheral Physiological Signals Using KNN Classifier.- Chapter 14. Detection Of Liver Tumor Using Gradient Vector Flow Algorithm.- Chapter 15. Hyperspectral Image Classification using Semisupervised Random Forest.- Chapter 16. Clustering of various parameters to catalog human bone disorders through soft computing simulation.- Chapter 17. IoT Based Embedded Smart Lock Control using Face Recognition System.- Chapter 18. MediCloud: Cloud-based solution to patient’s medical records.- Chapter 19. A Trio Approach Satisfying CIA Triad for Medical Image Security.- Chapter 20. A Novel Hybrid Method for Time Series Forecasting Using Soft Computing Approach.- Chapter 21. Medical Image Classification Using MRI: An Investigation.- Chapter 22. Tumor Detection and Analysis using Improved Fuzzy C-Means Algorithm.- Chapter 23. MediCloud: Cloud-based solution to patient’s medical records.- Chapter 24. Enhancement of Optical Coherence Tomography Images: An Iterative Approach Using Various Filters.- Chapter 25. An o.- Chapter 26. the Shelf CNN Features based approach for Vehicle Classication using Acoustics.- Chapter 27. Conjunctival Vasculature liveness detection based on DCT Features.- Chapter 28. Unusual Social Event Detection by Analyzing Call Data Records.- Chapter 29. Long Short Term Memory based Recurrent Neural Network approach for intrusion detection.- Chapter 30. Drunk Driving and Drowsiness Detection Alert System.- Chapter 31. A Survey on Intelligent Face Recognition System.- Chapter 32. Real Time Health Monitoring System Implemented on a Bicycle.- Chapter 33. A Fuzzy Rule based Diagnosis of Parkinson’s Disease.- Chapter 34. A Comprehensive Study of Retinal Vessel Classifica-tion Methods in Fundus Images for detection of Hyper-tensive Retinopathy and Cardiovascular diseases.- Chapter 35. Estimation of parameters to model a fabric in a way to identify defects.- Chapter 36. Hybrid Method For Copy-Move Forgery Detection In Digital Images.- Chapter 37. Error Detection Technique For A Median Filter Using Denoising Algorithm.- Chapter 38. Retinal Image Processing and Classification using Convolutional Neural Networks.- Chapter 39. Comparison of Thermography and 3D Mammography Screening and Classification Techniques for Breast Cancer.- Chapter 40. IEFA- A Fuzzy Framework for Image Enrichment.- Chapter 41. Hidden Markov Random Field and Gaussian Mixture Model based Hidden Markov Random Field for Contour Labelling of Exudates in Diabetic Retinopathy-A Comparitive Study.- Chapter 42. AUGEN: An Ocular Support for Visually Impaired Using Deep Learning.- Chapter 43. A Novel Flight Controller Interface for Vision Guided Autonomous Drone.- Chapter 44. Sliding Discrete Fourier Transform for 2D Signal Processing.- Chapter 45. Automated Lung Nodules And Ground Glass Opacity Nodules Detection And Classification From Computed Tomography Images.- Chapter 46. Detection Of Static And Dynamic Abnormal Activities In Crowded Areas Using Hybrid Clustering.- Chapter 47. Gait Recognition using Normal Distance Map and Sparse Multilinear Laplacian Discriminant Analysis.- Chapter 48. A Review – Edge Detection Techniques in Dental Images.- Chapter 49. Detection of Exudates and Removal of Optic Disc in Fundus Images Using Genetic Algorithm.- Chapter 50. Analysis of Feature Ranking Methods on X-ray Images.- Chapter 51. Salient Object Detection for Synthetic Dataset.- Chapter 52. Atherosclerotic Plaque Detection Using Intra-Vascular Ultrasound (IVUS) Images..- Chapter 53. Correlative Feature Selection for Multimodal Medical Image Fusion through QWT.- Chapter 54. A Two Stage Validation Approach for Early Detection of Proliferative Diabetic Retinopathy in Neovascularization at the Disc by Observing Retinal Vascular Structure.- Chapter 55. Finding Center of Optic Disc from Fundus Images for Image Characterization and Analysis.- Chapter 56. A Robust Method for Image Copy Move Passive Forgery Detection with Enhanced Speed.- Chapter 57. Detection of Objects and Evaluation with The IO Link Using Miniature Laser Sensor -A Review.- Chapter 58. Development of Medical Image Segmentation Algorithms using Deformable Models.- Chapter 59. Feature Extraction and Classification of Epileptic EEG signals using Wavelet transforms and Artificial Neural Networks.- Chapter 60. 3D Printed Surgical Guides in Orthoganthic Surgery- A Pathway to Positive Surgical Outcomes.- Chapter 61. Image-Based Method for Analysis of Root Canal Geometry.- Chapter 62. Analysis of Explicit Parallelism of Image Pre-Processing Algorithms A Case Study .- Chapter 63. A Comprehensive Study on Character Segmentation.- Chapter 64. Framework For Image Forgery Detection And Classification Using Machine Learning.- Chapter 65. EZW, SPIHT and WDR Methods for CT Scan and X-Ray Images Compression Applications.- Chapter 66. Human Identification based on Ear Image Contour and it’s Properties.- Chapter 67. Defocus Map Based Segmentation of Automotive Vehicles.- Chapter 68. Multi-Insight Monocular Vision System using a Refractive Projection Model.- Chapter 69. Comparative Study and Analysis of Pulse Rate Measurement by Vowel Speech and EVM.- Chapter 70. ONESTOP:A Tool for Performing Generic Operations With Visual Support.- Chapter 71. Performance evaluation of DCT, DWT and SPIHT techniques for Medical Image Compression.- Chapter 72. Structural Health Monitoring –An Integrated Approach for Vibration Analysis with Wireless Sensors to Steel Structure using Image Processing.- Chapter 73. An Improved image pre-processing method for concrete crack detection.- Chapter 74. Grape crop disease classification using transfer learning approach.- Chapter 75. Exploring Image Classification of Thyroid Ultrasound Images using Deep Learning.- Chapter 76. Medical Applications of Additive Manufacturing.- Chapter 77. A Study on Comparative Analysis of Automated and Semi automated Segmentation Techniques on Knee Osteoarthritis X-Ray Radiographs.- Chapter 78. Plant Disease Detection Based on Region Based Segmentation and KNN Classifier.- Chapter 79. Analyzing e-CALLISTO Images: Sunspot Number, 10.7 cm Flux and Radio Solar Bursts.- Chapter 80. Real Time Input Text Recognition System For The Aid Of Visually Impaired.- Chapter 81. A homogenous prototype design for IED detection using subsurface Ground Penetrating RADAR.- Chapter 82. A study on various Deep Learning Algorithms to diagnose Alzheimer’s disease.- Chapter 83. Performance Analysis of Image Enhancement Techniques for Mammogram Images.- Chapter 84. A Study on Preprocessing Techniques for Ultra Sound Images of Carotid Artery.- Chapter 85. Fractional Reaction Diffusion Model for Parkinson’s Disease.- Chapter 86. Analysis Of A Novel Algorithm For Steganography Using Openexr Image As Cover.- Chapter 87. Prediction-based Lossless Image Compression.- Chapter 88. Audio and Video Streaming in Telepresence application using WebRTC for Healthcare System.- Chapter 89. Review on Image Segmentation Techniques Incorporated with Machine Learning in the Scrutinization of Leukemic Microscopic Stained Blood Smear Images.- Chapter 90. Detection of Gaze Direction for Human-Computer Interaction.- Chapter 91. Compromising Cloud Security and Privacy by DOS, DDOS, Botnet Attacks and their countermeasures.- Chapter 92. Road Detection by Boundary Extraction Technique and Hough Transform.- Chapter 93. Investigating the Impact of Various Feature Selection Techniques on the Attributes used in the Diagnosis of Alzheimer’s Disease.- Chapter 94. Detection Of Sleep Apnea Based On Hrv Analysis Of Ecg Signal.- Chapter 95. Performance Comparison of SVM Classifier based on Kernel Functions in Colposcopic image Segmentation for Cervical Cancer.- Chapter 96. GPU based Denoising Filter for Knee MRI.- Chapter 97. Performance Evaluation of Audio Watermarking Algorithms using DWT and LFSR.- Chapter 98. Biometric Image Encryption Algorithm Based on Modified Rubik’s Cube Principle .- Chapter 99. A Comprehensive Study on Character Segmentation.- Chapter 100. Leaf Disease Detection Based On Machine Learning.- Chapter 101. Cross Domain Recommendation System using Ontology and Sequential Pattern Mining.- Chapter 102. A New Automated Medicine Prescription System for Plant Diseases.- Chapter 103. Identifying the risk factors for Diabetic Retinopathy using Decision Tree.- Chapter 104. Logarithmic Transform based Digital Watermarking Scheme.- Chapter 105. A comparative assessment of segmentations on skin lesion through various entropy and six sigma thresholds.- Chapter 106. Impact of Speckle Filtering on the Decomposition and Classification of Fully Polarimetric RADARSAT-2 Data.- Chapter 107. Estimation of Precipitation from the Doppler Weather Radar Images.- Chapter 108. Text Independent Handwriting Classification using Line and Texture Based Features.- Chapter 109. An Unified Pre-Processing Technique for Enhancement of Degraded Document Images.- Chapter 110. An efficient classifier for P300 in Brain Computer-Interface based on scalar products.- Chapter 111. Detection of Weed Using Visual Attention Model and SVM Classifier.- Chapter 112. Design and Development of Scalable IoT Framework for Healthcare Application.- Chapter 113. Use of Data Mining Technique for prediction of Crop yield in the face of Climate Change.- Chapter 114. Template Based Video Search Engine.- Chapter 115. A Survey of Medical Imaging, Storage and Transfer Techniques.- Chapter 116. Gray Level feature based approach for correspondence matching and elimination of false matches.- Chapter 117. A New Approach for Image Compressiion Usiing Effffiiciientt Codiing Techniique and BPN for Mediicall Images.- Chapter 118. Person Identification Using Iris Recognition: CVPR_IRIS Database.- Chapter 119. Fusion based Segmentation Technique for Improving the Diagnosis of MRI Brain Tumor in CAD Applications.- Chapter 120. Identification of cyst present in ultrasound PCOS using Discrete wavelet transform.- Chapter 121. Design and Development of Image Retrieval in Documents Using Journal Logo Matching.- Chapter 122. Feature enhancement of multispectral images Using vegetation, water, and soil Indices Image Fusion.- Chapter 123. Detection of Heart Abnormalities and High Level Cholesterol through Iris.- Chapter 124. Wavelet Based Convolutional Recurrent Neural Network for the automatic detection of absence seizure.- Chapter 125. New Random Noise Denoising Method for Bio Medical Image Processing Applications.- Chapter 126. Majority Voting Algorithm for Diagnosing of Imbalanced Malaria Disease.- Chapter 127. Importance of LEDs Placing and uniformity: Phototherapy treatment used for Neonatal Hyperbilirubinemia.- Chapter 128. Efficient Image Dehazing using Improved Depth Estimation and Color Analysis.- Chapter 129. Automated Glaucoma Detection using global statistical parameters of retina fundus images.- Chapter 130. Enhanced Techniques To Secure Medical Image And Data Transit.- Chapter 131. A spectral approach for segmentation and deformation estimation in point cloud using shape descriptors.- Chapter 132. A Study on Firefly Algorithm for Breast Cancer Classification.- Chapter 133. Fuzzy c-Means Clustering and Gaussian Mixture Model for Epilepsy Classification from EEG.- Chapter 134. Analysis on Detection of Chronic Alcoholics from EEG Signal Segments.- Chapter 135. A System For Plant Disease Classification And Severity Estimation Using Machine Learning Techniques.- Chapter 136. A Clinical Data Analytic Metric for Medical Ontology using Semantic Similarity.- Chapter 137. Automatic Detection of Malaria Parasites Using Unsupervised Techniques.- Chapter 138. True color image Compression and Decompression using Fusion of three level Discrete Wavelet Transform –Discrete Cosine Transforms and Arithmetic Coding Technique.- Chapter 139. Application of Neural Networks in Image Processing.- Chapter 140. Region of Interest (ROI) Based Image Encryption with Sine Map and Lorenz System.- Chapter 141. Chaos Based Color Image Encryption with DNA Operations.- Chapter 142. A Lucrative sensor for counting in the Limousine.- Chapter 143. Energy Expenditure Calculation With Physical Activity Recognition Using Genetic Algorithms.- Chapter 144. Improved Intrinsic Image Decomposition Technique for Image Contrast Enhancement using Back Propagation Algorithm.- Chapter 145. Low-Power High-Speed Hybrid Multiplier Architectures for Image Processing Applications.- Chapter 146. Intervertebral disc classification using Deep learning technique.- Chapter 147. Thermal Image Segmentation of Facial Thermograms Using K-Means Algorithm in Evaluation of Orofacial Pain.- Chapter 148. Study on Different Region based Object Detection Models Applied to Live Video Stream and Images Using Deep Learning.- Chapter 149. Analysis of Web Workload on Qos to Assist Capacity.- Chapter 150. Content Based Image Retrieval Using Hybrid Feature Extraction Techniques.- Chapter 151. Review of Feature Extraction and Matching methods for Drone image Stitching.- Chapter 152. An ANN-Based Detection of Obstructive Sleep Apnea from Simultaneous ECG and SpO2 Recordings.- Chapter 153. Design of an Image Skeletonization based Algorithm for Overcrowd Detection in Smart Building.- Chapter 154. Performance Comparison of Pre-trained Deep Neural Networks for Automated Glaucoma Detection.- Chapter 155. Performance Comparison of Pre-trained Deep Neural Networks for Automated Glaucoma Detection.- Chapter 156. Investigation on Land Cover Mapping of Large RS Imagery using Fuzzy based Maximum Likelihood Classifier.- Chapter 157. Gaussian Membership Function and Type II Fuzzy Sets based Approach for Edge Enhancement of Malaria Parasites in Microscopic Blood Images.- Chapter 158. Implementation of virtual Trial Room for Shopping Websites using Image Processing.- Chapter 159. Digital Video Copy Detection using Steganography Frame based Fusion Techniques.- Chapter 160. Response Analysis of Eulerian Video Magnification.- Chapter 161. Face Authentication and IOT based Automobile Security and Driver Surveilance System.- Chapter 162. Highly Repeatable Feature Point Detection in Images using Laplacian Graph Centrality.- Chapter 163. A Survey on Face Recognition in Video Surveillance.- Chapter 164. Driver’s Drowsiness Detection Using Image Processing.- Chapter 165. Identification of Optimum Image Capturing Technique for Corneal Segmentation – A survey.- Chapter 166. Hybrid SIFT Feature Extraction Approach For Indian Sign Language Recognition System Based on CNN.- Chapter 167. A Contemporary Framework and Novel Method for Segmentation of Brain MRI.- Chapter 168. Anatomical Segmentation of Human Brain MRI using Morphological Masks.- Chapter 169. Digital Image Restoration using NL Means with Robust Edge Preservation Technique.- Chapter 170. Color Image Encryption: A New Public Key Cryptosystem based on Polynomial Equation.- Chapter 171. Speech Recognition using Novel Diatonic Frequency Cepstral Coefficients and Hybrid Neuro Fuzzy Classifier.- Chapter 172. Secure Location Distribution on Mobile Device For Private Meeting.- Chapter 173. Performance analysis of Fuzzy Rough assisted classification and segmentation of Paper ECG using mutual information and dependency metric.- Chapter 174. Segmentation for Hippocampus in AD using Region Growing and Level set.- Chapter 175. A Mixed Reality Workspace using Telepresence System.- Chapter 176. Detection Of Static And Dynamic Abnormal Activities In Crowded Areas Using Hybrid Clustering.- Chapter 177. Scaled conjugate gradient algorithm and SVM for Iris Liveness Detection.- Chapter 178. Long Short Term Memory based Recurrent Neural Network approach for intrusion detection.- Chapter 179. An Exploration Of The Image Processing Techniques For The Detection Of Leukemia.- Chapter 180. Video Frame Interpolation Using Deep Convolutional Neural Network.- Chapter 181. Thermal imaging of abdomen in evaluation of obesity: A comparison with Body composition analyzer-A Preliminary study.- Chapter 182. Sentimental Analysis of Twitter Data Using Big Data Tools and Hadoop Ecosystem.- Chapter 183. A Study On Optic Disc Localization Methods In Retinal Images.- Chapter 184. Detection of Chemically Ripened Fruits Based on Visual Features and Non-Destructive Sensor Techniques.- Chapter 185. Dynamic Object Indexing Technique For Distortionless Video Synopsis.- Chapter 186. An Intrusion Detection and Prevention System Using AIS-An NK Cell-Based Approach.- Chapter 187. HORBoVF – A Novel 3-Level Image Classifier Using Histogram, ORB and Dynamic Bag of Visual Features.- Chapter 188. Neural Network based Image Registration Using Synthetic Reference Image Rotation.- Chapter 189. Design and Development of Efficient Algorithms for IRIS Recognition System for Different Unconstrained Environments.- Chapter 190. Relation Extraction using Convolutional Neural Networks.- Chapter 191. Multi-Object detection using modified GMM based background subtraction technique.
£999.99
Springer Nature Switzerland AG Dynamic Neuroscience: Statistics, Modeling, and Control
Book SynopsisThis book shows how to develop efficient quantitative methods to characterize neural data and extra information that reveals underlying dynamics and neurophysiological mechanisms. Written by active experts in the field, it contains an exchange of innovative ideas among researchers at both computational and experimental ends, as well as those at the interface. Authors discuss research challenges and new directions in emerging areas with two goals in mind: to collect recent advances in statistics, signal processing, modeling, and control methods in neuroscience; and to welcome and foster innovative or cross-disciplinary ideas along this line of research and discuss important research issues in neural data analysis. Making use of both tutorial and review materials, this book is written for neural, electrical, and biomedical engineers; computational neuroscientists; statisticians; computer scientists; and clinical engineers.Trade Review“This is a short monograph on the computational neurosciences of single and populations of neurons. … This serves as a reference for advanced engineers and mathematical neurobiologists primarily. Dayan's Theoretical Neuroscience, and Neural Engineering by MIT Press are useful for more background material. Brain Machine and Brain-Computer interfacing is also considered here.” (Joseph Grenier, Amazon.com, June, 2018)Table of Contents1. IntroductionPart I Statistics & Signal Processing2 Characterizing Complex, Multi-scale Neural Phenomena Using State-Space Models3 Latent Variable Modeling of Neural Population Dynamics4 What Can Trial-to-Trial Variability Tell Us? A Distribution-Based Approach to Spike Train Decoding in the Rat Hippocampus and Entorhinal Cortex5 Sparsity Meets Dynamics: Robust Solutions to Neuronal Identification and Inverse Problems6 Artifact Rejection for Concurrent TMS-EEG DataPart II Modeling & Control Theory7 Characterizing Complex Human Behaviors and Neural Responses Using Dynamic Models8 Brain-Machine Interfaces9 Control-theoretic Approaches for Modeling, Analyzing and Manipulating Neuronal (In)activity10 From Physiological Signals to Pulsatile Dynamics: A Sparse System Identification Approach11 Neural Engine Hypothesis12 Inferring Neuronal Network Mechanisms Underlying Anesthesia induced Oscillations Using Mathematical ModelsEpilogue
£125.99
Springer Nature Switzerland AG Brain-Computer Interface Research: A State-of-the-Art Summary 10
Book SynopsisThe Annual BCI Research Awards are international prizes that recognize the top new projects in brain–computer interface (BCI) research. This book contains concise descriptions of projects nominated for the 2020 BCI Research Award and interviews with nominees. Each article is authored by the researchers who developed the project, and articles have been updated with new progress achieved since their nomination. These chapters are complemented by an introduction by the editors together with a concluding chapter that reviews the annual Awards Ceremony, announces the winners, and ends with a brief discussion.One of the prominent trends in recent years has been the development of BCIs for restoring limb use and for aiding optical and auditory sensory perception. Many chapters in this book present emerging and novel research directions likely to become more prevalent in the near future. This year's book includes chapters based on interviews with BCI experts who were nominated for an award, including this year's first, second, and third place winners. These interview chapters are generally less technical than project descriptions, and provide individual perspectives from people actively working on new methods and systems.Table of Contents1 Enhancing gesture decoding performance using signals from human posterior parietal cortex.- Machine translation of cortical activity to text.- 2 Towards practical MEG-BCI with optically pumped magnetometers.- 3 EEG decoding of pain perception for a real-time reflex system in prostheses.- 4 A computer-brain interface that restores lost extremities touch and movement sensations.- 5 Restoring the sense of touch using a sensorimotor demultiplexing neural interface.- 6 A brain–spine interface complements deep-brain stimulation to both alleviate gait and balance deficits and increase alertness in a primate model of Parkinson’s disease.- 7 Speaker-independent auditory attention decoding without access to clean speech sources.- 8 A high-performance handwriting BCI.- 9 A neuromorphic brain computer interface for real-time detection of a new biomarker for epilepsy surgery.- 10 “Sono-optogenetics”: An ultrasound-mediated non-invasive optogenetic brain-computer interface.- 11 High-dimensional (8D) control of complex effectors such as an exoskeleton by a tetraplegic subject using chronic ECoG recordings using stable and robust over time adaptive direct neural decoder.
£49.49
Springer Nature Switzerland AG Delay and Uncertainty in Human Balancing Tasks
Book SynopsisThis book demonstrates how delay differential equations (DDEs) can be used to compliment the laboratory investigation of human balancing tasks. This approach is made accessible to non-specialists by comparing mathematical predictions and experimental observations. For example, the observation that a longer pole is easier to balance on a fingertip than a shorter one demonstrates the essential role played by a time delay in the balance control mechanism. Another balancing task considered is postural sway during quiet standing. With the inverted pendulum as the driver and the feedback control depending on state variables or on an internal model, the feedback can be identified by determining a critical pendulum length and/or a critical delay. This approach is used to identify the nature of the feedback for the pole balancing and postural sway examples. Motivated by the question of how the nervous system deals with these feedback control challenges, there is a discussion of ‘’microchaotic’’ fluctuations in balance control and how robust control can be achieved in the face of uncertainties in the estimation of control parameters. The final chapter suggests some topics for future research.Each chapter includes an abstract and a point-by-point summary of the main concepts that have been established. A particularly useful numerical integration method for the DDEs that arise in balance control is semi-discretization. This method is described and a MATLAB template is provided.This book will be a useful source for anyone studying balance in humans, other bipedal organisms and humanoid robots. Much of the material has been used by the authors to teach senior undergraduates in computational neuroscience and students in bio-systems, biomedical, mechanical and neural engineering. Trade Review“The book is well and balanced writing.” (Andrey Zahariev, zbMATH 1484.92001, 2022)Table of Contents1. Introduction.- 2. Background.- 3. Pole Balancing at the Fingertip.- 4. Sensory Dead Zones: Switching Feedback.- 5. Microchaos in Balance Control.- 6. Postural Sway During Quiet Standing.- 7. Stability Radii and Uncertainty in Balance Control.- 8. Challenges for the Future.- References.- Semi-discretization Method.- Stability Radii: Some Mathematical Aspects.- Index.
£58.49
Springer Nature Switzerland AG Advanced X-Ray Radiation Detection:: Medical
Book SynopsisThis book offers readers an overview of some of the most recent advances in the field of technology for X-ray medical imaging. Coverage includes both technology and applications in SPECT, PET and CT, with an in-depth review of the research topics from leading specialists in the field. Coverage includes conversion of the X-ray signal into analogue/digital value, as well as a review of CMOS chips for X-ray image sensors. Emphasis is on high-Z materials like CdTe, CZT and GaAs, since they offer the best implementation possibilities for direct conversion X-ray detectors. The discussion includes material challenges, detector operation physics and technology and readout integrated circuits required to detect signals processes by high-Z sensors. Authors contrast these emerging technologies with more established ones based on scintillator materials. This book is an excellent reference for people already working in the field as well as for people wishing to enter it.Table of ContentsX-ray Detectors in Medical Imaging.- Modelling spectroscopic performance of pixelated semiconductor detectors through Monte-Carlo simulation.- Status of DEXA Instrumentation Using Direct and Indirect Detectors.- CZT Detectors for Nuclear Medicine.- Positron Emission Tomography (PET) Imaging Based on Sub-Millimeter Pixelated CdZnTe Detectors.- Medical Photon-Counting CT – Status and Clinical Applications Review.- Multi-material decomposition (m-MD) based spectral imaging in photon-counting CT.- X-ray Multispectral CT Imaging by Projection Sequences Blind Separation based on Basis-effect or Basis-material decomposition.- Direct Iterative Basis Image Reconstruction Based on MAP-EM Algorithm for Spectral CT.- Linearly Polarized X-ray Fluorescence Computed Tomography with a Photon Counting Detector.- Detector shift iteration method for improving spatial resolution and suppressing pixel value distortion in direct and indirect X-ray detectors.- A new method of estimating incident x-ray spectra with photon counting detectors using a limited number of energy bins with dedicated clinical x-ray imaging systems.
£56.24
Springer Nature Switzerland AG Flexible Bioelectronics with Power Autonomous
Book SynopsisThis book provides readers with an introduction to the materials and devices necessary for flexible sensors and electronics, followed by common techniques for fabrication of such devices and system-level integration. Key insights into fabrication and processing will guide readers through the tradeoff choices in designing such platforms. A comprehensive review of two specific, flexible bioelectronic platforms, related to smart bandages for wound monitoring and thread-based diagnostics for wearable health, will demonstrate practical application at the system level. The book also provides a unique electrical engineering perspective by reviewing circuit architectures for low noise signal conditioning of weak signals from sensors,, and for low power analog to digital converters for signal acquisition. To achieve energy autonomy, authors provide several example of CMOS energy harvesting front end circuits and voltage boosters. Beyond circuit architectures, the book also provides a review of the modern theory of sampling and recovery of sparse signals, also known as compressed sensing. They then highlight how these principles can be leveraged for design and implementation of efficient signal acquisition hardware and reliable processing of acquired data for flexible electronic platforms.Table of ContentsChapter 1. Materials and Processing for Flexible Bioelectronics.- Chapter 2. Sensors and Platforms for Flexible Bioelectronics.- Chapter 3. Low-noise CMOS Signal Conditioning Circuits.- Chapter 4. Data Converters for Wearable Sensor Applications.- Chapter 5. Power Management Circuits for Energy Harvesting.- Chapter 6. Sampling and recovery of signals with spectral sparsity.- Chapter 7. Compressed Sensing.
£54.99
Springer International Publishing AG Patient-Centered Design of Cognitive Assistive Technology for Traumatic Brain Injury Telerehabilitation
Book SynopsisComputer software has been productive in helping individuals with cognitive disabilities. Personalizing the user interface is an important strategy in designing software for these users, because of the barriers created by conventional user interfaces for the cognitively disabled. Cognitive assistive technology (CAT) has typically been used to provide help with everyday activities, outside of cognitive rehabilitation therapy. This book describes a quarter century of computing R&D at the Institute for Cognitive Prosthetics, focusing on the needs of individuals with cognitive disabilities from brain injury. Models and methods from Human Computer Interaction (HCI) have been particularly valuable, initially in illuminating those needs. Subsequently HCI methods have expanded CAT to be powerful rehabilitation therapy tools, restoring some damaged cognitive abilities which have resisted conventional therapy. Patient-Centered Design (PCD) emerged as a design methodology which incorporates both clinical and technical factors. PCD also takes advantage of the patient's ability to redesign and refine the user interface, and to achieve a very good fit between user and system. Cognitive Prosthetics Telerehabilitation is a powerful therapy modality. Essential characteristics are delivering service to patients in their own home, having the patient's priority activities be the focus of therapy, using cognitive prosthetic software which applies Patient Centered Design, and videoconferencing with a workspace shared between therapist and patient. Cognitive Prosthetics Telerehabilitation has a rich set of advantages for the many stakeholders involved with brain injury rehabilitation.Table of ContentsIntroduction.- Some Clinical Features of the Cognitive Disabilities Domain with TBI Examples.- Adapting Computer Software to Address Cognitive Disabilities.- The Primacy of the User Interface.- Patient-Centered Design.- Cognitive Prosthetics Telerehabilitation.- The Active User and the Engaged User.- Patient Case Studies in the Use of Cognitive Assistive Technology: Successes and Failures.- Conclusions, Factors Influencing Outcomes, Anomalies, and Opportunities.- Bibliography.
£26.59
Springer International Publishing AG Quantitative Neurophysiology
Book SynopsisQuantitative Neurophysiology is supplementary text for a junior or senior level course in neuroengineering. It may also serve as an quick-start for graduate students in engineering, physics or neuroscience as well as for faculty interested in becoming familiar with the basics of quantitative neuroscience. The first chapter is a review of the structure of the neuron and anatomy of the brain. Chapters 2-6 derive the theory of active and passive membranes, electrical propagation in axons and dendrites and the dynamics of the synapse. Chapter 7 is an introduction to modeling networks of neurons and artificial neural networks. Chapter 8 and 9 address the recording and decoding of extracellular potentials. The final chapter has descriptions of a number of more advanced or new topics in neuroengineering. Throughout the text, vocabulary is introduced which will enable students to read more advanced literature and communicate with other scientists and engineers working in the neurosciences. Numerical methods are outlined so students with programming knowledge can implement the models presented in the text. Analogies are used to clarify topics and reinforce key concepts. Finally, homework and simulation problems are available at the end of each chapter. Table of Contents: Preface / Neural Anatomy / Passive Membranes / Active Membranes / Propagation / Neural Branches / Synapses / Networks of Neurons / Extracellular Recording and Stimulation / The Neural Code / Applications / Biography / IndexTable of ContentsPreface.- Neural Anatomy.- Passive Membranes.- Active Membranes.- Propagation.- Neural Branches.- Synapses.- Networks of Neurons.- Extracellular Recording and Stimulation.- The Neural Code.- Applications.- Biography.- Index.
£999.99
Springer Computerized Systems for Diagnosis and Treatment of COVID19
a huge range and FREE tracked UK delivery on ALL orders.
£134.99
Springer Dimension Reduced Modeling of Blood Flow in Large Arteries
a huge range and FREE tracked UK delivery on ALL orders.
£125.99
Springer International Publishing AG Processing Medical Thermal Images: Using Matlab®
a huge range and FREE tracked UK delivery on ALL orders.
£80.99
Springer International Publishing AG Advances in Bionanomaterials: Selected Papers from the 2nd Workshop in Bionanomaterials, BIONAM 2016, October 4-7, 2016, Salerno, Italy
Book SynopsisThis book reports on multidisciplinary research focusing on the analysis, synthesis and design of bionanomaterials. It merges the biophysicists’, the biochemists’ and bioengineers’ perspectives, covering the study of the basic properties of materials and their interaction with biological systems, the development of new devices for medical purposes such as implantable systems, and new algorithms and methods for modeling the mechanical, physical or biological properties of biomaterials. The different chapters, which are based on selected contributions presented at the second edition of BIONAM, held on October 4-7, 2016, in Salerno, Italy, cover both basic and applied research. This includes novel synthetic strategies for nanomaterials, as well as the implementation of bio- and smart materials for pharmacological and medical purposes (e.g. drug delivery, implantable systems), environmental applications, and many others. The book provides a broad audience of academic and professionals with a comprehensive, timely snapshot of the field of biomaterials. Besides offering a set of innovative theories together with the necessary practical tools for their implementation, it also highlights current challenges in the field, thus fostering new discussions and possible future collaborations between groups with different backgrounds.Table of ContentsPart I: Nanomaterials Engineering.- Part II: Nanomaterials Engineering.- Part III: Applications of Bionanomaterials.
£80.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Advances in Biomedical Sensing, Measurements, Instrumentation and Systems
Book SynopsisAdvances in technological devices unveil new architectures for instrumentation and improvements in measurement techniques. Sensing technology, related to biomedical aspects, plays a key role in nowadays applications; it promotes different advantages for: healthcare, solving difficulties for elderly persons, clinical analysis, microbiological characterizations, etc.. This book intends to illustrate and to collect recent advances in biomedical measurements and sensing instrumentation, not as an encyclopedia but as clever support for scientists, students and researchers in other to stimulate exchange and discussions for further developments.Table of ContentsDistributed System Architecture Using a Prototype Web E-Nose.- Magnetic Fluids for Bio-medical Application.- Design of the New Prognosis Wearable System-Prototype for Health Monitoring of People at Risk.- Ultra Wide Band in Medical Applications.- A Wearable Force Plate System Designed Using Small Triaxial Force Sensors and Inertial Sensors.- Optical Ranging in Endoscopy: Towards Quantitative Imaging.- Validation of Denoising Algorithms for Medical Imaging.- Dielectrophoretic Actuation and Simultaneous Detection of Individual Bioparticles.- Use of Triaxial Accelerometers for Posture and Movement Analysis of Patients.- Instrumentation and Sensors for Human Breath Analysis.- Decomposition of Photoplethysmographical Arterial Pulse Waves by Independent Component Analysis: Possibilities and Limitations.- Digital Processing of Diagnostic Images.- Expanding the Metrological and Operating Characteristics of Cytofluorimeters.- Biomedical Sensors for Ambient Assisted Living.- Biosignal Processing to Meet the Emerging Needs of Telehealth Monitoring Environments.- Calibration of Automated Non Invasive Blood Pressure Measurement Devices.- Augmented Reality in Minimally Invasive Surgery.- Advances in EEG Signal Processing for Epilepsy Detection.- A Novel Portable Device for Laryngeal Pathologies Analysis and Classification.
£169.37
Springer Viruses in all Dimensions: How an Information Code Controls Viruses, Software and Microorganisms
Book SynopsisMicroorganisms, viruses, and computer programs encode all the information necessary to reproduce and spread themselves. Yet these mechanisms are amazingly similar in the animate world, in the world of viruses, and even in the world of technical systems. The book shows how great the parallels are between these various animate and inanimate replicating systems and what they are based on.The excursion also leads into the fascinating world of genetics, to the question of what defines life and into the programming of software that multiplies itself independently. Finally, the question is derived whether and to what extent such self-replicating technical systems can become as dangerous as infectious viruses in triggering pandemics, such as the Corona pandemic in 2020.Table of ContentsViruses, microorganisms and molecular genetics.- What is life?.-Basic concepts of molecular genetics.- Viruses and early genetics.- Algorithms and self-replicating computer programs.- What is information?.- Coding of information in technology and biology.- Coevolution of life and technology.
£24.99
Springer Verlag, Singapore Enzyme-linked Immunosorbent Assay (ELISA): From A to Z
Book SynopsisThis book offers comprehensive information on all aspects of ELISA, starting with the fundamentals of the immune system. It also reviews the history of analytical assays prior to the advent of ELISA (enzyme-linked immunosorbent assay) and addresses the materials of choice for the fabrication of the platforms, possible biomolecular interactions, different protocols, and evaluation parameters. The book guides readers through the respective steps of the analytical assay, while also familiarizing them with the possible sources of error in the assay. It offers detailed insights into the immobilization techniques used for protein attachment, as well as methods for evaluating the assay and calculating the key parameters, such as sensitivity, specificity, accuracy and limit of detection. In addition, the book explores the advantages and shortcomings of the conventional ELISA, as well as various approaches to improving its performance. In this regard, merging and integrating other technologies with widely known ELISAs have opened new avenues for the advancement of this immunoassay. Accordingly, the book provides cutting-edge information on integrated platforms such as ELISpot, plasmonic ELISAs, sphere-/bead-based ELISAs, paper-/fiber-based ELISAs and ELISA in micro-devices. Table of Contents1 Fundamentals of ELISA: from the evolution of the immunoassays until invention of ELISAAbstract1. 1 Evolution of the immunoassays until invention of ELISA 1.1.1 Side chain theory1.1.2 Antigen-antibody binding theory1.1.3 Discovery of antibody structure1.1.4 Invention of RIA1.1.5 Invention and development of ELISA1.2 Principles of the immune system1.2.1 Antibody production in human body1.2.2 Categories of antibodies1.2.3 Antigen-antibody coupling1.2.4 Specificity of the antigen-antibody coupling1.3 Biomolecular interactions between antibody and antigen1.3.1 Hydrogen bonding1.3.2 Hydrophobic interaction1.3.3 Ionic attraction1.3.4 Van der Waals forces1.3.4.1 London dispersion1.3.4.2 Dipole-dipole interaction1.3.4.3 Ion-dipole forceReferences 2 General overview on applications of ELISAAbstract2.1 Application of ELISA2.1.1 Food industry2.1.2 Vaccine development2.1.3 Immunology2.1.3.1 Autoimmunity2.1.3.2 Humoral immunity2.1.4 Diagnosis2.1.4.1 Home pregnancy test2.1.4.2 Cancer detection2.1.4.3 Detection of the infectious diseases2.1.5 Toxicology 2.1.6 Drug monitoring and pharmaceutical industry2.1.7 TransplantationReferences 3 Step by step with ELISA: mechanism of operation, crucial elements, different protocols, and insights on immobilization and detection of various biomolecular entities Abstract3.1 Mechanism of operation3.2 Different elements of the assay3.2.1 Solid phase3.2.1.1 Adsorption3.2.2 Washing process3.2.3 Antigens 3.2.4 Antibodies3.2.4.1 Antispecies antibodies3.2.5 Enzyme3.2.5.2 Different types of enzyme3.2.5.2 Enzyme conjugation3.2.6 Substrate3.2.7 Stopping process3.2.8 Reading process3.2.8.1 Chromogenic assay3.2.8.2 Chemifluorescenct assay3.2.8.3 Chemiluminescent assay3.2.8.4 Reading apparatus3.2.9 Controls3.3 Target biomolecular entities by ELISA3.4 Different protocols3.4.1 Direct ELISA3.4.2 Indirect ELISA3.4.3 Sandwich ELISA3.4.4 Double sandwich ELISA3.4.5 Competitive ELISA3.5 Immobilization techniques for protein attachment 3.5.1 Physical immobilization3.5.2 Covalent immobilization3.5.2.1 Immobilization via zero-Length cross linker3.5.2.2 Immobilization via spacers3.5.3 Immobilization via entrapment3.5.4 Oriented immobilizationReferences 4 Evaluation of the detection results obtained from ELISAAbstract4.1 Conducting a reliable assay4.1.1 Sources of error4.1.2 Troubleshooting 4.2 Key parameters for evaluation of the assay4.2.1 Sensitivity4.2.2 Specificity4.2.3 Accuracy4.2.4 Limit of detection4.3 Measurable units in ELISAReferences 5 Advantages, disadvantages and modifications of conventional ELISA Abstract5.1 Significance of conventional ELISA 5.2 Shortages of conventional ELISA5.3 Materials of choice for fabrication of ELISA well plates5.4 Different types of ELISA well plates5.5 Modified ELISA platforms5.5.1 ELISpot5.5.2 Plasmonic ELISA5.5.3 Sphere-/bead-based ELISAs5.5.4 Paper-/fiber-based ELISAs5.5.5 ELISA in microdevicesReferences 6 Common questions and answers about ELISA AbstractReferences Summary
£999.99
Springer Verlag, Singapore Polymer Gels: Science and Fundamentals
Book SynopsisThis book exclusively focuses on the science and fundamentals of polymer gels, as well as the numerous advantages that polymer gel-based materials offer. It presents a comprehensive collection of chapters on the recent advances and developments in the core science and fundamentals of both synthetic and natural polymer-based gels, and pays particular attention to applications in the various research fields of biomedicine and engineering. Key topics addressed include: polysaccharide-based gels and their fundamentals; stimuli-responsive polymer gels; polymer gels applied to enzyme and cell immobilization; chitosan-based gels for cancer therapy; natural polymeric and gelling agents; radiation dosimetry; polymeric gels as vehicles for enhanced drug delivery across the skin; transport in and through gel; and polymer gel nanocomposites and functional gels. The book’s extensive and highly topical coverage will appeal to researchers working in a broad range of fields in industry and academia alike.Table of ContentsBrea Gum Gel Capacity.- An Overview on Polymer Gels Applied to Enzyme and Cell Immobilization.- Xylan-Based Gels and Their Fundamentals.- Stimuli-Responsive Polymer Gels for Protein Delivery.- Polysaccharide-Based Polymergels.- Chitosan Based Gels for Cancer Therapy.- Natural Polymeric and Gelling Agents.- Radiation Dosimetry - A Different Prospective of Polymer Gel.- Polymeric Gels: Vehicles for Enhanced Drug Delivery Across Skin.- Graphene Oxide - Polymer Gels.- Transport in and Through Gel.- Strategizing Advance Application of Polymer Gels by Incorporation of Fillers.- Polymer Gels: New Materials for the Future.- Polymer Gel-Clay (Nano)Composites.- Functional Gels.- Molecular Distinction Between Structures of Nanoporous Siloxane Polymers.- Stimuli Responsive Polysaccharides Based Gels: Fundamental and Pharmaceutical Aspects.- Polymer Gel for Islet Encapsulation for Diabetes Therapy.
£151.99
Springer Verlag, Singapore EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction
Book SynopsisNeuro-muscular and musculoskeletal disorders and injuries highly affect the life style and the motion abilities of an individual. This brief highlights a systematic method for detection of the level of muscle power declining in musculoskeletal and Neuro-muscular disorders. The neuro-fuzzy system is trained with 70 percent of the recorded Electromyography (EMG) cut off window and then used for classification and modeling purposes. The neuro-fuzzy classifier is validated in comparison to some other well-known classifiers in classification of the recorded EMG signals with the three states of contractions corresponding to the extracted features. Different structures of the neuro-fuzzy classifier are also comparatively analyzed to find the optimum structure of the classifier used.Table of ContentsIntroduction to EMG Technique and Feature Extraction.- Methodology for working with EMG dataset.- Results.- Conclusions and Inferences of Present Study.
£999.99
Springer International Publishing AG The Death of Death: The Scientific Possibility of
Book SynopsisIs death inevitable? Until now, the history of mankind has been marked by this fatal fact. Religions, borders and progress are born from an ancient fear of death, comfort from this fear man often found only in religious paradigms. But according to José Luis Cordeiro and David Wood, the incontrovertible fact of death is no longer an absolute certainty - science and technology are preparing to tear down the final frontier: that of immortality.This accessible book provides insight into recent exponential advances in artificial intelligence, tissue regeneration, stem cell treatment, organ printing, cryopreservation, and genetic therapies that, for the first time in human history, offer a realistic chance to solve the problem of the aging of the human body. In this book, Cordeiro and Wood not only present all the major developments, initiatives, and ideas for eternal life, they also show why there are a number of good arguments for seeing death for what it is: the last undefeated disease.Enter any drugstore or bookstore, and we confronted with a mountain of nonsense concerning the aging process. Society seems obsessed with aging. That is why The Death of Death is such a refreshing delight, able to cut through the hype and reveal a balanced, authoritative, and lucid discussion of this controversial topic. It summarizes the astonishing breakthroughs made recently in revealing how science may one day conquer the aging process.Michio Kaku, theoretical physicist and author of The God Equation: The Quest for a Theory of Everything We are entering a Fantastic Voyage into life extension, crossing different bridges that will take us to indefinite life spans. The Death of Death explains clearly how we might soon reach longevity escape velocity and live long enough to live forever. Ray Kurzweil, co-author of Fantastic Voyage: Live Long Enough to Live Forever and co-founder of Singularity University The Death of Death is a truly revolutionary book. This is a visionary book that confronts us with the terrible reality of aging, and its authors are friends and connoisseurs of the subject. I believe that the authoritative and exhaustive description of this crusade that José and David make in this excellent book will accelerate this process. Forward! Aubrey de Grey, founder of LEV (Longevity Escape Velocity) Foundation and co-author of Ending AgingTable of ContentsPrologue: by Aubrey de Gray, PhD Warnings Introduction: The greatest and oldest dream of humanity Chapter 1: Life appeared to live Chapter 2: What is aging? Chapter 3: The biggest industry in the world has been born Chapter 4: From the linear to the exponential world Chapter 5: How much does it cost? Chapter 6: The terror of death Chapter 7: Paradigms: good, bad and “experts" Chapter 8: Plan B: human cryopreservation Chapter 9: The future depends upon us Conclusion: The moment has come Epilogue Appendix: Chronology of life on EarthBibliography Acknowledgments
£21.84
Taylor & Francis Ltd Atlas of Flexible Bronchoscopy
Book SynopsisThis unique and comprehensive atlas by an expert practioner provides an innovative pictorial guide to flexible bronchoscopy, one of the most exciting and challenging procedures in respiratory medicine today. Includes the very latest procedures and techniques Comprehensive coverage, guides you through the range of anatomical and pathological possibilities A step-by-step guide to the use of bronchoscopic techniques, interpretation of images and differential diagnoses Integrates naked eye, bronchoscopic and radiological anatomy to give you a thorough understanding of the procedure Numerous full colour illustrations and sound practical advice make this a key text for learning and refining your technique The book will be invaluable to those training in respiratory medicine, plus also specialist respiratory nurses and practising pulmonologists who wish to expand theTable of ContentsIntroduction. Bronchopulmonary segments. Normal anatomy (anterior approach). Normal anatomy (posterior approach). Vascular relationships and lymph node stations. Transbronchial fine-needle aspiration (anterior approach). Transbronchial fine-needle aspiration (posterior approach). Endobronchial ultrasound bronchoscopy. Pathology. Fluorescence-based imaging. Electromagnetic navigation. Intubation and management of airway haemorrhage. Endobronchial tumour debulking. Stents. Bronchoscopic treatment for emphysema and asthma: bronchoscopic lung volume reduction.
£94.99
John Wiley & Sons Inc Wearable Robots
Book SynopsisThis book is one of the first to give an overview of biomechatronic exoskeletons including their applications and implications. A collective reference specifically on biomechatronic exoskeletons, an area that is relevant to mechanical and biomedical engineers as well as those working in prosthetics, rehabilitation, and defense.Table of ContentsForeword xv Preface xvii List of Contributors xix 1 Introduction to wearable robotics 1J. L. Pons, R. Ceres and L. Calderón 1.1 Wearable robots and exoskeletons 1 1.1.1 Dual human–robot interaction in wearable robotics 3 1.1.2 A historical note 4 1.1.3 Exoskeletons: an instance of wearable robots 5 1.2 The role of bioinspiration and biomechatronics in wearable robots 6 1.2.1 Bioinspiration in the design of biomechatronic wearable robots 8 1.2.2 Biomechatronic systems in close interaction with biological systems 9 1.2.3 Biologically inspired design and optimization procedures 9 1.3 Technologies involved in robotic exoskeletons 9 1.4 A classification of wearable exoskeletons: application domains 10 1.5 Scope of the book 12 References 15 2 Basis for bioinspiration and biomimetism in wearable robots 17A. Forner-Cordero, J. L. Pons and M. Wisse 2.1 Introduction 17 2.2 General principles in biological design 18 2.2.1 Optimization of objective functions: energy consumption 19 2.2.2 Multifunctionality and adaptability 21 2.2.3 Evolution 22 2.3 Development of biologically inspired designs 23 2.3.1 Biological models 24 2.3.2 Neuromotor control structures and mechanisms as models 24 2.3.3 Muscular physiology as a model 27 2.3.4 Sensorimotor mechanisms as a model 29 2.3.5 Biomechanics of human limbs as a model 31 2.3.6 Recursive interaction: engineering models explain biological systems 31 2.4 Levels of biological inspiration in engineering design 31 2.4.1 Biomimetism: replication of observable behaviour and structures 32 2.4.2 Bioimitation: replication of dynamics and control structures 32 2.5 Case Study: limit-cycle biped walking robots to imitate human gait and to inspire the design of wearable exoskeletons 33M. Wisse 2.5.1 Introduction 33 2.5.2 Why is human walking efficient and stable? 33 2.5.3 Robot solutions for efficiency and stability 34 2.5.4 Conclusion 36 Acknowledgements 36 2.6 Case Study: MANUS-HAND, mimicking neuromotor control of grasping 36J. L. Pons, R. Ceres and L. Calderón 2.6.1 Introduction 37 2.6.2 Design of the prosthesis 37 2.6.3 MANUS-HAND control architecture 39 2.7 Case Study: internal models, CPGs and reflexes to control bipedal walking robots and exoskeletons: the ESBiRRo project 40A. Forner-Cordero 2.7.1 Introduction 40 2.7.2 Motivation for the design of LC bipeds and current limitations 41 2.7.3 Biomimetic control for an LC biped walking robot 41 2.7.4 Conclusions and future developments 43 References 43 3 Kinematics and dynamics of wearable robots 47A. Forner-Cordero, J. L. Pons, E. A. Turowska and A. Schiele 3.1 Introduction 47 3.2 Robot mechanics: motion equations 48 3.2.1 Kinematic analysis 48 3.2.2 Dynamic analysis 53 3.3 Human biomechanics 57 3.3.1 Medical description of human movements 57 3.3.2 Arm kinematics 59 3.3.3 Leg kinematics 61 3.3.4 Kinematic models of the limbs 64 3.3.5 Dynamic modelling of the human limbs 68 3.4 Kinematic redundancy in exoskeleton systems 70 3.4.1 Introduction to kinematic redundancies 70 3.4.2 Redundancies in human–exoskeleton systems 71 3.5 Case Study: a biomimetic, kinematically compliant knee joint modelled by a four-bar linkage 74J. M. Baydal-Bertomeu, D. Garrido and F. Moll 3.5.1 Introduction 74 3.5.2 Kinematics of the knee 75 3.5.3 Kinematic analysis of a four-bar linkage mechanism 75 3.5.4 Genetic algorithm methodology 77 3.5.5 Final design 77 3.5.6 Mobility analysis of the optimal crossed four-bar linkage 78 3.6 Case Study: design of a forearm pronation–supination joint in an upper limb exoskeleton 79J. M. Belda-Lois, R. Poveda, R. Barberà and J. M. Baydal-Bertomeu 3.6.1 The mechanics of pronation–supination control 79 3.7 Case Study: study of tremor characteristics based on a biomechanical model of the upper limb 80E. Rocon and J. L. Pons 3.7.1 Biomechanical model of the upper arm 81 3.7.2 Results 83 References 83 4 Human–robot cognitive interaction 87L. Bueno, F. Brunetti, A. Frizera and J. L. Pons 4.1 Introduction to human–robot interaction 87 4.2 cHRI using bioelectrical monitoring of brain activity 89 4.2.1 Physiology of brain activity 90 4.2.2 Electroencephalography (EEG) models and parameters 92 4.2.3 Brain-controlled interfaces: approaches and algorithms 93 4.3 cHRI through bioelectrical monitoring of muscle activity (EMG) 96 4.3.1 Physiology of muscle activity 97 4.3.2 Electromyography models and parameters 98 4.3.3 Surface EMG signal feature extraction 99 4.3.4 Classification of EMG activity 102 4.3.5 Force and torque estimation 104 4.4 cHRI through biomechanical monitoring 104 4.4.1 Biomechanical models and parameters 105 4.4.2 Biomechanically controlled interfaces: approaches and algorithms 108 4.5 Case Study: lower limb exoskeleton control based on learned gait patterns 109J. C. Moreno and J. L. Pons 4.5.1 Gait patterns with knee joint impedance modulation 109 4.5.2 Architecture 109 4.5.3 Fuzzy inference system 110 4.5.4 Simulation 110 4.6 Case Study: identification and tracking of involuntary human motion based on biomechanical data 111E. Rocon and J. L. Pons 4.7 Case Study: cortical control of neuroprosthetic devices 115J. M. Carmena 4.8 Case Study: gesture and posture recognition using WSNs 118E. Farella and L. Benini 4.8.1 Platform description 119 4.8.2 Implementation of concepts and algorithm 119 4.8.3 Posture detection results 121 4.8.4 Challenges: wireless sensor networks for motion tracking 121 4.8.5 Summary and outlook 122 References 122 5 Human–robot physical interaction 127E. Rocon, A. F. Ruiz, R. Raya, A. Schiele and J. L. Pons 5.1 Introduction 127 5.1.1 Physiological factors 128 5.1.2 Aspects of wearable robot design 129 5.2 Kinematic compatibility between human limbs and wearable robots 130 5.2.1 Causes of kinematic incompatibility and their negative effects 130 5.2.2 Overcoming kinematic incompatibility 133 5.3 Application of load to humans 134 5.3.1 Human tolerance of pressure 134 5.3.2 Transmission of forces through soft tissues 135 5.3.3 Support design 138 5.4 Control of human–robot interaction 138 5.4.1 Human–robot interaction: human behaviour 139 5.4.2 Human–robot interaction: robot behaviour 140 5.4.3 Human–robot closed loop 143 5.4.4 Physically triggered cognitive interactions 146 5.4.5 Stability 147 5.5 Case Study: quantification of constraint displacements and interaction forces in nonergonomic pHR interfaces 149A. Schiele 5.5.1 Theoretical analysis of constraint displacements, d 150 5.5.2 Experimental quantification of interaction force, Fd 151 5.6 Case Study: analysis of pressure distribution and tolerance areas for wearable robots 154J. M. Belda-Lois, R. Poveda and M. J. Vivas 5.6.1 Measurement of pressure tolerance 155 5.7 Case Study: upper limb tremor suppression through impedance control 156E. Rocon and J. L. Pons 5.8 Case Study: stance stabilization during gait through impedance control 158J. C. Moreno and J. L. Pons 5.8.1 Knee–ankle–foot orthosis (exoskeleton) 159 5.8.2 Lower leg–exoskeleton system 159 5.8.3 Stance phase stabilization: patient test 160 References 161 6 Wearable robot technologies 165J. C. Moreno, L. Bueno and J. L. Pons 6.1 Introduction to wearable robot technologies 165 6.2 Sensor technologies 166 6.2.1 Position and motion sensing: HR limb kinematic information 166 6.2.2 Bioelectrical activity sensors 171 6.2.3 HR interface force and pressure: human comfort and limb kinetic information 175 6.2.4 Microclimate sensing 179 6.3 Actuator technologies 181 6.3.1 State of the art 181 6.3.2 Control requirements for actuator technologies 183 6.3.3 Emerging actuator technologies 185 6.4 Portable energy storage technologies 189 6.4.1 Future trends 189 6.5 Case Study: inertial sensor fusion for limb orientation 190J. C. Moreno, L. Bueno and J. L. Pons 6.6 Case Study: microclimate sensing in wearable devices 192J. M. Baydal-Bertomeu, J. M. Belda-Lois, J. M. Prat and R. Barberà 6.6.1 Introduction 192 6.6.2 Thermal balance of humans 192 6.6.3 Climate conditions in clothing and wearable devices 193 6.6.4 Measurement of thermal comfort 194 6.7 Case Study: biomimetic design of a controllable knee actuator 194J. C. Moreno, L. Bueno and J. L. Pons 6.7.1 Quadriceps weakness 195 6.7.2 Functional analysis of gait as inspiration 195 6.7.3 Actuator prototype 197 References 198 7 Communication networks for wearable robots 201F. Brunetti and J. L. Pons 7.1 Introduction 201 7.2 Wearable robotic networks, from wired to wireless 203 7.2.1 Requirements 203 7.2.2 Network components: configuration of a wearable robotic network 205 7.2.3 Topology 206 7.2.4 Wearable robatic network goals and profiles 208 7.3 Wired wearable robotic networks 209 7.3.1 Enabling technologies 209 7.3.2 Network establishment, maintenance, QoS and robustness 213 7.4 Wireless wearable robotic networks 214 7.4.1 Enabling technologies 214 7.4.2 Wireless sensor network platforms 216 7.5 Case Study: smart textiles to measure comfort and performance 218J. Vanhala 7.5.1 Introduction 218 7.5.2 Application description 220 7.5.3 Platform description 221 7.5.4 Implementation of concepts 222 7.5.5 Results 222 7.5.6 Discussion 223 7.6 Case Study: ExoNET 224F. Brunetti and J. L. Pons 7.6.1 Application description 224 7.6.2 Network structure 224 7.6.3 Network components 224 7.6.4 Network protocol 225 7.7 Case Study: NeuroLab, a multimodal networked exoskeleton for neuromotor and biomechanical research 226A. F. Ruiz and J. L. Pons 7.7.1 Application description 226 7.7.2 Platform description 227 7.7.3 Implementation of concepts and algorithms 227 7.8 Case Study: communication technologies for the integration of robotic systems and sensor networks at home: helping elderly people 229J. V. Martí, R. Marín, J. Fernández, M. Nuñez, O. Rajadell, L. Nomdedeu, J. Sales, P. Agustí, A. Fabregat and A. P. del Pobil 7.8.1 Introduction 230 7.8.2 Communication systems 230 7.8.3 IP-based protocols 232 Acknowledgements 233 References 233 8 Wearable upper limb robots 235E. Rocon, A. F. Ruiz and J. L. Pons 8.1 Case Study: the wearable orthosis for tremor assessment and suppression (WOTAS) 236E. Rocon and J. L. Pons 8.1.1 Introduction 236 8.1.2 Wearable orthosis for tremor assessment and suppression (WOTAS) 236 8.1.3 Experimental protocol 239 8.1.4 Results 240 8.1.5 Discussion and conclusions 241 8.2 Case Study: the CyberHand 242L. Beccai, S. Micera, C. Cipriani, J. Carpaneto and M. C. Carrozza 8.2.1 Introduction 242 8.2.2 The multi-DoF bioinspired hand prosthesis 242 8.2.3 The neural interface 245 8.2.4 Conclusions 247 8.3 Case Study: the ergonomic EXARM exoskeleton 248A. Schiele 8.3.1 Introduction 248 8.3.2 Ergonomic exoskeleton: challenges and innovation 250 8.3.3 The EXARM implementation 251 8.3.4 Summary and conclusion 254 8.4 Case Study: the NEUROBOTICS exoskeleton (NEUROExos) 255S. Roccella, E. Cattin, N. Vitiello, F. Vecchi and M. C. Carrozza 8.4.1 Exoskeleton control approach 257 8.4.2 Application domains for the NEUROExos exoskeleton 258 8.5 Case Study: an upper limb powered exoskeleton 259J. C. Perry and J. Rosen 8.5.1 Exoskeleton design 259 8.5.2 Conclusions and discussion 268 8.6 Case Study: soft exoskeleton for use in physiotherapy and training 269N. G. Tsagarakis, D. G. Caldwell and S. Kousidou 8.6.1 Soft arm–exoskeleton design 270 8.6.2 System control 272 8.6.3 Experimental results 275 8.6.4 Conclusions 277 References 278 9 Wearable lower limb and full-body robots 283J. Moreno, E. Turowska and J. L. Pons 9.1 Case Study: GAIT–ESBiRRo: lower limb exoskeletons for functional compensation of pathological gait 283J. C. Moreno and J. L. Pons 9.1.1 Introduction 283 9.1.2 Pathological gait and biomechanical aspects 284 9.1.3 The GAIT concept 285 9.1.4 Actuation 286 9.1.5 Sensor system 286 9.1.6 Control system 286 9.1.7 Evaluation 287 9.1.8 Next generation of lower limb exoskeletons: the ESBiRRo project 289 9.2 Case Study: an ankle–foot orthosis powered by artificial pneumatic muscles 289D. P. Ferris 9.2.1 Introduction 289 9.2.2 Orthosis construction 290 9.2.3 Artificial pneumatic muscles 291 9.2.4 Muscle mounting 291 9.2.5 Orthosis mass 292 9.2.6 Orthosis control 292 9.2.7 Performance data 292 9.2.8 Major conclusions 295 9.3 Case Study: intelligent and powered leg prosthesis 295K. De Roy 9.3.1 Introduction 296 9.3.2 Functional analysis of the prosthetic leg 297 9.3.3 Conclusions 303 9.4 Case Study: the control method of the HAL (hybrid assistive limb) for a swinging motion 304J. Moreno, E. Turouska and J. L. Pons 9.4.1 System 305 9.4.2 Actuator control 305 9.4.3 Performance 306 9.5 Case Study: Kanagawa Institute of Technology power-assist suit 308K. Yamamoto 9.5.1 The basic design concepts 308 9.5.2 Power-assist suit 308 9.5.3 Controller 310 9.5.4 Physical dynamics model 310 9.5.5 Muscle hardness sensor 310 9.5.6 Direct drive pneumatic actuators 311 9.5.7 Units 311 9.5.8 Operating characteristics of units 312 9.6 Case Study: EEG-based cHRI of a robotic wheelchair 314T. F. Bastos-Filho, M. Sarcinelli-Filho, A. Ferreira, W. C. Celeste, R. L. Silva, V. R. Martins, D. C. Cavalieri, P. N. S. Filgueira and I. B. Arantes 9.6.1 EEG acquisition and processing 315 9.6.2 The PDA-based graphic interface 317 9.6.3 Experiments 317 9.6.4 Results and concluding remarks 318 Acknowledgements 319 References 319 10 Summary, conclusions and outlook 323J. L. Pons, R. Ceres and L. Calderón 10.1 Summary 323 10.1.1 Bioinspiration in designing wearable robots 324 10.1.2 Mechanics of wearable robots 326 10.1.3 Cognitive and physical human–robot interaction 327 10.1.4 Technologies for wearable robots 328 10.1.5 Outstanding research projects on wearable robots 329 10.2 Conclusions and outlook 330 References 332 Index 335
£92.66
John Wiley and Sons Ltd Biomedical Science
Book SynopsisThis brand new Lecture Notes title provides the core biomedical science study and revision material that medical students need to know. Matching the common systems-based approach taken by the majority of medical schools, it provides concise, student-led content that is rooted in clinical relevance. The book is filled with learning features such as key definitions and key conditions, and is cross-referenced to develop interdisciplinary awareness. Although designed predominantly for medical students, this new Lecture Notes book is also useful for students of dentistry, pharmacology and nursing. Biomedical Science Lecture Notes provides: A brand new title in the award-winning Lecture Notes series A concise, full colour study and revision guide A ''one-stop-shop'' for the biomedical sciences Clinical relevance and cross referencing to develop interdisciplinary skills Learning features such as key definiTrade Review"Each chapter moves concisely through the appropriate science, highlighting its relevance to clinical practice. The information is well presented and easy to navigate." (Oxford Medical School Gazette, 2011)Table of ContentsPreface. Acknowledgements. Abbreviations. 1 Cell biology. 2 Molecular biology and genetics. 3 Biochemistry. 4 Physiology. 5 Pharmacology. 6 Cardiovascular system. 7 Respiratory system. 8 Gastrointestinal system. 9 Urinary system. 10 Endocrinology. 11 Integrative physiology. 12 Reproduction. 13 Embryology. 14 Anatomy/musculoskeletal system. 15 Immunology. 16 Microbiology. 17 Neuroscience. 18 Medical statistics. Index.
£40.80
John Wiley & Sons Inc Analysing Survival Data from Clinical Trials and
Book SynopsisThis book provides an up-to-date, comprehensive, clinically oriented account of the molecular biology, pathogenesis, clinical features, diagnosis and management of human bacterial diseases, as well as their control and prevention.Trade Review"...this book is written well..." (Statistics in Medical Research, Vol.12, No. 2, 2003)Table of ContentsThe Scope of Survival Analysis. Randomized Clinical Trials: General Principles and Some Controversial Issues. Estimation of Survival Probabilities. Non-Parametric Methods for the Comparison of Survival Curves. Distribution Functions for Failure Time T . The Cox Regression Model. Validation of the Proportional Hazards Models. Parametric Regression Models. The Study of Prognostic Factors and the Assessment of Treatment Effect. Competing Risks. Meta-Analysis. References. Indexes.
£184.46
Pan Macmillan Australia A Human's Guide to the Future
Book Synopsis
£13.49
Cambridge University Press Bionanotechnology
Book SynopsisConnecting theory with real-life applications, this is the first ever textbook to equip students with a comprehensive knowledge of all the key concepts in bionanotechnology. By bridging the interdisciplinary gap from which bionanotechnology emerged, it provides a systematic introduction to the subject, accessible to students from a wide variety of backgrounds. Topics range from nanomaterial preparation, properties and biofunctionalisation, and analytical methods used in bionanotechnology, to bioinspired and DNA nanotechnology, and applications in biosensing, medicine and tissue engineering. Throughout the book, features such as ''Back to basics'' and ''Research report'' boxes enable students to build a strong theoretical knowledge and to link this to practical applications and up-to-date research. With over 200 detailed, full-colour illustrations and more than 100 end-of-chapter problems, this is an essential guide to bionanotechnology for any student studying this exciting, fast-develTrade Review'An excellent textbook for the interdisciplinary field of bionanotechnology. It is comprehensive and accessible to students from a wide variety of scientific backgrounds. The 'Back to Basics' boxes build a common knowledge base, while the 'Research Reports' boxes connect the fundamentals to current research.' Professor George Malliaras, University of Cambridge'Fruk and Krebs provide a well-written and readily accessible text on the emerging topic of Bionanotechnology, elegantly show-casing its trans-disciplinary nature and application impacts. The book's vibrant composition integrating worked examples and solutions fused with highlight applications in the form of research reports, makes it equally attractive for experienced researchers as well as newcomers to the field, including undergraduate students. The key concept sections only increase the well-rounded nature of the book, which is perhaps the most current up-date summary on the market. Mandatory reading - highly recommended.' Professor Christopher Barner-Kowollik, Queensland University of Technology'A really innovative feature of this textbook for advanced undergraduates or graduate students is the inclusion of numerous 'Research Reports' - synopses of recent research publications that quickly introduce both the potential of and the chemical underpinnings enabling the bionanotechnologies surveyed. The breadth of topics and principles covered, including the many 'Back to Basics' mini-introductions will make this a popular textbook for classes covering bionanotechnology in different departments, from chemistry and chemical engineering to materials science, physics, bioengineering and biomedical engineering.' Dr Aaron Lau, University of Strathclyde'When any new discipline surfaces, a new textbook is sure to appear, and this work addresses just such a void … This work, which brings several disciplines together, has much to offer as a teaching tool, and the effort is to be applauded. Though far from recreational reading, the volume offers an overview of the present state and future directions in applied nanobiology that is sure to be useful in the curriculum. A secondary use is as a reference work, and this is indeed a good one … Highly recommended.' F. W. Yow, Choice ConnectTable of ContentsPreface; 1. Introduction to bionanotechnology; 2. Nanomaterials: principles and properties; 3. Nanomaterials: classes and preparation strategies; 4. Biomolecules and scales of biological systems; 5. (Bio)functionalisation of nanomaterials; 6. Analytical methods in bionanotechnology; 7. DNA nanotechnology; 8. Bioinspired nanotechnology; 9. Nanomedicine: biotechnology in medicine; Index.
£57.13
Jenny Stanford Publishing Advances in Medical Imaging, Detection, and
Book SynopsisMedical care is the most critical issue of our time and will be so for the foreseeable future. In this regard, the pace and sophistication of advances in medicine in the past two decades have been truly breathtaking. This has necessitated a growing need for comprehensive reference resources that highlight current issues in specific sectors of medicine. Keeping this in mind, each volume in the Current Issues in Medicine series is a stand‐alone text that provides a broad survey of various important topics in a focused area of medicine—all accomplished in a user-friendly yet interconnected format. This volume addresses advances in medical imaging, detection, and diagnostic technologies. Technological innovations in these sectors of medicine continue to provide for safer, more accurate, and faster diagnosis for patients. This translates into superior prognosis and better patient compliance, while reducing morbidity and mortality. Hence, it is imperative that practitioners stay current with these latest advances to provide the best care for nursing and clinical practices. While recognizing how expansive and multifaceted these areas of medicine are, Advances in Medical Imaging, Detection, and Diagnosis addresses crucial recent progress, integrating the knowledge and experience of experts from academia and the clinic. The multidisciplinary approach reflected makes this volume a valuable reference resource for medical practitioners, medical students, nurses, fellows, residents, undergraduate and graduate students, educators, venture capitalists, policymakers, and biomedical researchers. A wide audience will benefit from having this volume on their bookshelf: health care systems, the pharmaceutical industry, academia, and government.Table of ContentsCurrent Issues in Medicine: Advances in Medical Imaging, Detection, and Diagnosis
£540.00
Cambridge University Press Biodesign
Book SynopsisThis step-by-step guide to medical technology innovation, now in full color, has been rewritten to reflect recent trends of industry globalization and value-conscious healthcare. Written by a team of medical, engineering, and business experts, the authors provide a comprehensive resource that leads students, researchers, and entrepreneurs through a proven process for the identification, invention, and implementation of new solutions. Case studies on innovative products from around the world, successes and failures, practical advice, and end-of-chapter ''Getting Started'' sections encourage readers to learn from real projects and apply important lessons to their own work. A wealth of additional material supports the book, including a collection of nearly one hundred videos created for the second edition, active links to external websites, supplementary appendices, and timely updates on the companion website at ebiodesign.org. Readers can access this material quickly, easily, and at the Trade Review'Biodesign is on the forward edge of one of the most exciting new frontiers of health care. This impressive and engaging work provides a thorough look at the innovation process. But this is certainly not just for the scientific innovators: it is a must-read for anyone in any aspect of health care today.' Alex Gorsky, Chairman and CEO, Johnson & Johnson'I can't think of a more important place to turn creativity loose than in designing the future of healthcare. But it's a complicated scene - and it's easy to get lost in the maze of stakeholders, regulation, and financing. Biodesign lays out a clear and logical map to find and pursue opportunities for real innovation. One of the core messages in this new edition is that by placing the need for affordability up front in design process, innovators can more explicitly create technologies that bring value to the healthcare system. This is design thinking at its best!' David Kelley, Founder, Hasso Plattner Institute of Design, Stanford University, and Founder, IDEO'A [must-read] textbook for anyone in academia or industry, in any country, who wants to innovate and deliver value to patients and health systems around [the] world.' Koji Nakao, Chairman, Terumo, and Japanese Federation of Medical Device Associations'If you want to know how to come up with a both innovative and transformative technology in medicine, there isn't a better resource than this book by Paul Yock and his colleagues at Biodesign. Over thirteen years ago, the program at Stanford brought together transdisciplinary innovators - engineers, physicians and business experts - to not only design their formidable program, but to teach all the rest of us how to do it.' Eric J. Topol, Director, Scripps Translational Science Institute'… this book on biodesign will be invaluable for any inventor or entrepreneur. It contains very useful information on such critical areas as design principles, regulatory issues, clinical trial strategies, intellectual property, reimbursement strategies, and funding - and it backs them up with interesting real-life experiences and case studies.' Robert Langer, David H. Koch Institute Professor, Massachusetts Institute of Technology'This practical but comprehensive resource is keeping up with the rapid developments affecting medical device innovation. The authors draw on their own extensive experiences and insights, as well as diverse case studies, to present the full range of strategic and operational considerations to bring valuable new therapies to patients in the US and around the world.' Mark McClellan, Director, Health Care Innovation and Value Initiative, Brookings Institution'Since its first release, Biodesign has established itself as a unique foundation of expertise for medical device entrepreneurship. No other manual has been so popular and so influential, reflecting admirably the entrepreneurial values sustaining the Biodesign endeavor. [The] second edition, by the outstanding founding editorial team, preserves the highly praised detail, clarity and refreshing essence of [the] previous edition … an indispensable manual and reliable companion for all students and professionals, from business, medical or engineering arenas …' Professor Jacques Marescaux, President, IRCAD Institute, and Founder and CEO, Strasbourg Institute of Image-Guided SurgeryTable of ContentsPreface; Focus on value; Global perspectives; Process insights; Part I. Identify: Stage 1. Needs Finding: 1.1 Strategic focus; 1.2 Needs exploration; 1.3 Need statement development; Case study; Stage 2. Needs Screening: 2.1 Disease state fundamentals; 2.2 Existing solutions; 2.3 Stakeholder analysis; 2.4 Market analysis; 2.5 Needs selection; Case study; Part II. Invent: Stage 3. Concept Generation: 3.1 Ideation; 3.2 Initial concept selection; Case study; Stage 4. Concept Screening: 4.1 Intellectual property basics; 4.2 Regulatory basics; 4.3 Reimbursement basics; 4.4 Business models; 4.5 Concept exploration and testing; 4.6 Final concept selection; Case study; Part III. Implement: Stage 5. Strategy Development: 5.1 IP strategy; 5.2 R&D strategy; 5.3 Clinical strategy; 5.4 Regulatory strategy; 5.5 Quality management; 5.6 Reimbursement strategy; 5.7 Marketing and stakeholder strategy; 5.8 Sales and distribution strategy; 5.9 Competitive advantage and business strategy; Case study; Stage 6. Business Planning: 6.1 Operating plan and financial model; 6.2 Strategy integration and communication; 6.3 Funding approaches; 6.4 Alternate pathways; Case study; About the author team; Image credits; Glossary; Index.
£69.34
