Biophysics Books

Book SynopsisThis book describes the events of primary energy transduction in life processes. Life as we know it depends on pumping protons across membranes. New tools to study the protein complexes involved has led to recent intensified progress in the field. Primary Energy Transduction in Biology focusses on recent structural results and new biophysical insights. These have been made possible by recent advances in high-resolution protein structures, in physical techniques to study reactions in real time, and in computational methods to study and refine both structures and their dynamics. Written and edited by leading experts, chapters discuss the latest key questions in cell respiration, photosynthesis, bioenergetics, proton transfer, electron transfer and membrane transport. Biochemists, biophysicists and chemical biologists will find this book an essential resource for a complete understanding of the molecular machines of bioenergetics.Table of ContentsMaking Maquette Models of Bioenergetic Structures; Structure of Respiratory Complex I: ‘‘Minimal’’ Bacterial and ‘‘De luxe’’ Mammalian Versions; Structure and Function of Respiratory Complex I; Multi-scale Molecular Simulations on Respiratory Complex I; Coupling Hydride Transfer to Proton Pumping: the Swiveling Mechanism of Transhydrogenase; The Na1+-Translocating NADH: Ubiquinone Oxidoreductase (Na1+-NQR); The bc1 Complex: A Physicochemical Retrospective and an Atomistic Prospective; Advances in Understanding Mechanism and Physiology of Cytochromes bc; Life and Death of Cytochrome c Oxidase: Influence of Subunit III on the D pathway, Proton Backflow and Suicide Inactivation; Computational Means of Assessing Proton Pumping in Cytochrome c Oxidase (Complex IV); Water Oxidation by PSII: A Quantum Chemical Approach; Respiratory Supercomplexes in Mitochondria; Structure, Mechanism and Regulation of ATP Synthases

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Book SynopsisParamagnetic NMR is a growing technique that represents an increasingly important tool for the investigation of biomolecules. This book presents an update and overview of the paramagnetic NMR phenomena and effects as well as guidelines for practical implementation of state-of-the-art experiments. All experiments are supported by a solid theoretical foundation. Areas mentioned are the development of solid state NMR, the use of paramagnetic tags providing information on the structure and mobility of the investigated systems, and dynamic nuclear polarization to increase sensitivity. Compiled by experts in the field, this book has international appeal for researchers as well as students interested in magnetic resonance and structural biology who require experimental support and accessible information.Table of ContentsNMR Consequences of the Nucleus-Electron Spin Interactions; Intrinsic and Extrinsic Paramagnetic Probes; Structural and Dynamic Characterization of Protein Domains Using Paramagnetic Data; Treating Biomacromolecular Conformational Variability; Protein-Protein Interactions; Solid-State NMR of Paramagnetic Proteins; Relaxometry and Contrast Agents; Dynamic Nuclear Polarization; Paramagnetic NMR in Drug Discovery; Small Paramagnetic Co-solute Molecules; Subject Index

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Book SynopsisThis volume will focus on the chemistry, physics and material sciences contributions toward the rapidly evolving field of artificial water channels. The development of synthetic biomimetic artificial water-channels and pores is key for a better understanding of the natural function of protein channels. It is hoped to offer new strategies to generate highly selective, advanced materials for water purification systems. While synthetic chemists have produced sophisticated architectures able to confine water clusters, most water channel based work is being conducted with natural protein channels as selectivity components, embedded in the diverse arrays of bio-assisted artificial systems. Experimental results have demonstrated that natural biomolecules can be used as bio-assisted building blocks for the construction of highly selective water transport through artificial channels. Moving to simpler water-channel systems offers a chance to better understand mechanistic and structural behaviours and to uncover novel interactive water channels that might parallel those in biomolecular systems. In this volume the topics covered include: Structure and function of natural proteins for water transport Biomimetic water channels The modelling and enhancement of water hydrodynamics Applications to water transport systemsTable of ContentsStructure and Function of Natural Proteins for Water Transport; Biomimetic Water Channels; The Modelling and Enhancement of Water Hydrodynamics; Applications to Water Transport Systems

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Book SynopsisModern research in biology increasingly relies on multiple techniques for describing structures and mechanisms. This book provides an overview of the contemporary integrated biology approaches for solving structures and understanding mechanisms of complex biological systems. It includes several methodology chapters discussing the current developments in the areas of cryo-electron microscopy (EM) and cryo-electron tomography (ET), computational biophysics, solution NMR spectroscopy, solid-state NMR spectroscopy and dynamic nuclear polarization (DNP), electron paramagnetic resonance (EPR), (photo-)chemically induced dynamic nuclear polarization (CIDNP), X-ray crystallography and small-angle X-ray and neutron scattering (SAXS/SANS). Several subsequent chapters demonstrate how these methods are used in synergy to address problems at the forefront of structural biology, with particular emphasis on examples where individual techniques are insufficient. Examples of biological systems include membrane proteins, viral protein assemblies, cytoskeleton protein assemblies, photosynthetic reaction centers, large enzyme complexes and whole cells. The book is targeted to both the current practitioners of structural biology and scientists who are interested in entering the fields of structural biology or biophysical chemistry.Table of ContentsDecoding Atomic Addresses: Solution NMR Resonance Assignment of Proteins;Solid-state NMR Spectroscopy and Dynamic Nuclear Polarization;Electron Paramagnetic Resonance in Structural Biology;Cryo-electron Microscopy and Tomography: Going for Atomic Resolution in Macromolecular Assemblies and Entire Cells;In-cell Structural Biology Through the Integration of Solution NMR Spectroscopy and Computational Science;Solid-state NMR Based Integrative Structural Methods for Protein and Viral Assemblies;Time-resolved Crystallography on Protein Photoreceptors and Enzymes;Integrative Structural Biology of Enzyme Active Sites;Mechanistic Studies of Membrane Proteins Using Integrated Solid-state NMR and Computational Approaches;Structural Elucidation Based on Photo-CIDNP NMR;Unsupervised Refinement of Protein Structures;RNA Heterogeneity Visualized Under AFM

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Book SynopsisNMR spectroscopy has found a wide range of applications in life sciences over recent decades. Providing a comprehensive amalgamation of the scattered knowledge of how to apply high-resolution NMR techniques to biomolecular systems, this book will break down the conventional stereotypes in the use of NMR for structural studies. The major focus is on novel approaches in NMR which deal with the functional interface of either protein-protein interactions or protein-lipid interactions. Bridging the gaps between structural and functional studies, the Editors believe a thorough compilation of these studies will open an entirely new dimension of understanding of crucial functional motifs. This in turn will be helpful for future applications into drug design or better understanding of systems. The book will appeal to NMR practitioners in industry and academia who are looking for a comprehensive understanding of the possibilities of applying high-resolution NMR spectroscopic techniques in probing biomolecular interactions.Table of ContentsTheory and Applications of NMR Spectroscopy in Bio Molecular Structures and Dynamics of Proteins; Multi-state Structures and Dynamics at Atomic Resolution Using Exact NOEs; Protein Backbone and Side-chain 15N Spin Relaxation Techniques to Study Biomacromolecular Interactions; Lineshape Analysis as a Tool for Probing Functional Motions at Biological Interfaces; Monitoring Interfaces of Thermo- and pH-responsive Polymers using Solvent Relaxation; NMR-based Ligand–Receptor Interaction Studies under Conventional and Unconventional Conditions; Multi-frequency Saturation Transfer Difference NMR to Characterize Weak Protein–Ligand Complexes; Structural Insight into the Slowly Exchanging Dark States at the Functional Interaction Interface; Dynamics of Protein–Nanoparticle Interactions Using NMR; NMR Structures, Dynamics and Interactions of Protein Complexes in B2 Integrins; Describing Dynamic Chaperone–Client Complexes by Solution NMR Spectroscopy; Methyl-TROSY NMR Spectroscopy in the Investigation of Allosteric Cooperativity in Large Biomolecular Complexes; Characterizing Conformational Diversity of G Protein-coupled receptors by Solution NMR Spectroscopy; Characterising Intrinsically Disordered Proteins using NMR Spectroscopy and Molecular Dynamics Simulations; Structure- and Dynamics-guided Drug Development Using NMR and its Application to Diverse Pharmaceutical Modalities; Locating Hydrogen Atoms Using Fast-MAS Solid-state NMR and MicroED; Membranes, Minerals and Magnets: Application of NMR Spectroscopy to Biological Interfaces; Solid-state NMR Shows that the Structure and Dynamics of Specific Residues in the Membrane Receptor CXCR1 are Altered by Interactions with Specific Residues in its Agonist IL-8; High-resolution NMR Studies of Antibiotics in Membranes; New Concepts for the Mechanisms of Action of Antimicrobial Peptides from Solid-state NMR Investigations; Structure and Dynamics of Native Biological Materials by Solid-state NMR Spectroscopy; The Lipid Phase of the Stratum Corneum Studied by Solid-state NMR: A Not So Rigid Barrier

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Book SynopsisMolecular chaperones are critical to control protein quality in all living cells. Understanding chaperone function at the atomic level, and in particular its mode of interaction with client proteins, is crucial to understanding the fundamental roles chaperones play in biology. This book fills a gap in the literature by comprehensively summarizing and discussing new advanced experimental techniques for their analysis. Providing a comprehensive overview of advanced biophysical methods for the characterization of molecular mechanisms of molecular chaperones, the majority of the contributions are NMR methodology. This is the method of choice for atomic resolution studies of such systems. Additional notable biophysical approaches are considered to present all relevant current developments in exploring chaperone function and the transient and dynamic interactions with their client proteins. The book is targeted at both current practitioners of structural biology and biophysical chemistry and scientists who are interested in entering the field. It could be useful for graduate students as supplementary reading.Table of ContentsIntroduction: Molecular Chaperones and Protein Quality Control;Structural Disorder in Chaperone Functions Probed by NMR;Solution NMR Approaches for Studying Molecular Chaperones;Solution NMR Studies of Chaperone–Client Systems;Preparing Chaperone–Client Protein Complexes for Biophysical and Structural Studies;NMR Study of Structure and Dynamics of Chaperone–Client Complexes;Single Molecule Fluorescence Methods for Molecular Chaperones and their Client Interactions;Visualization of Chaperone Mediated Protein Folding Using X-ray Crystallography;Studying Molecular Chaperones and their Client Interactions by Nanometer Distance Restraints from Electron Paramagnetic Resonance Spectroscopy;EPR Studies of Chaperone Interactions and Dynamics;Probing Single Chaperone Substrates;Integrative Methods to Investigate Chaperones in Regulating Protein Phase Separation and Aggregation;Structural Biology in Cells by In-cell NMR

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Book SynopsisResidual dipolar couplings (RDCs) are NMR measurements widely used to determine structural and dynamic information in small molecules and large macromolecules. This book provides a broad view of RDCs, from basic principles to advanced applications in organic molecules and biomolecules. Exploring the newest developments in RDC measurement and analysis through authoritative accounts written by leaders in the field, this book provides a comprehensive overview on the fundamentals, analysis and applications in one place for the first time. The versatility and accuracy of RDCs have found a large range of applications in NMR, and their measurement and analysis are major research areas. Readers, be they experts or students, will receive a strong understanding of the fundamentals of RDCs and their applications to their research projects.Table of ContentsIntroduction to Residual Dipolar Coupling;Theoretical Aspects of Residual Dipolar Couplings;External Media for Inducing Weak Alignment in Biomacromolecules;Generating Independent RDCs Using Paramagnetic Tags;Prediction of Weak Alignment from Molecule Structure;NMR Experiments for Measuring RDCs in Biomolecules;Study of Biomolecular Structure and Dynamics with Xplor-NIH;RDC for Membrane Proteins;Consistent Protein Structure Determination Using Sparse NMR Data;RNA Conformational Ensembles from NMR Residual Dipolar Couplings;Structure Determination of Organic Molecules Using RDCs (and RCSAs);Using RDCs and PCSs to Study Structure, Dynamics, and Interactions of Carbohydrates;Anisotropic NMR Methods: Orthogonal Verification of Novel and Complex Natural Product Structures

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Book SynopsisAtomic force microscopy (AFM) is part of a range of emerging microscopic methods for biologists which offer the magnification range of both the light and electron microscope, but allow imaging under the 'natural' conditions usually associated with the light microscope. To biologists, AFM offers the prospect of high resolution images of biological material, images of molecules and their interactions even under physiological conditions, and the study of molecular processes in living systems. This book provides a realistic appreciation of the advantages and limitations of the technique and the present and future potential for improving the understanding of biological systems.The second edition of this bestseller has been updated to describe the latest developments in this exciting field, including a brand new chapter on force spectroscopy. The dramatic developments of AFM over the past ten years from a simple imaging tool to the multi-faceted, nano-manipulating technique that it is today are conveyed in a lively and informative narrative, which provides essential reading for students and experienced researchers alike.Table of ContentsApparatus; Basic Principles; Macromolecules; Interfacial Systems; Ordered Macromolecules; Cells, Tissue and Biominerals; Other Probe Microscopes.

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Book SynopsisThe chemical and biological sciences face unprecedented opportunities in the 21st century. A confluence of factors from parallel universes - advances in experimental techniques in biomolecular structure determination, progress in theoretical modeling and simulation for large biological systems, and breakthroughs in computer technology - has opened new avenues of opportunity as never before. Now, experimental data can be interpreted and further analysed by modeling, and predictions from any approach can be tested and advanced through companion methodologies and technologies. This two volume set describes innovations in biomolecular modeling and simulation, in both the algorithmic and application fronts. With contributions from experts in the field, the books describe progress and innovation in areas including: simulation algorithms for dynamics and enhanced configurational sampling, force field development, implicit solvation models, coarse-grained models, quantum-mechanical simulations, protein folding, DNA polymerase mechanisms, nucleic acid complexes and simulations, RNA structure analysis and design and other important topics in structural biology modeling. The books are aimed at graduate students and experts in structural biology and chemistry and the emphasis is on reporting innovative new approaches rather than providing comprehensive reviews on each subject.Table of ContentsVolume 1 Beginnings; Personal Perspective; Fashioning NAMD, a History of Risk and Reward: Klaus Schulten Reminisces; Towards Biomolecular Simulations with Explicit Inclusion of Polarizability: Development of a CHARMM Polarizable Force Field based on the Classical Drude Oscillator Model; Integral Equation Theory of Biomolecules and Electrolytes; Molecular Simulation in the Energy Biosciences; Sampling and rates; Dynamics Simulations with Trajectory Fragments; Computing Reaction Rates in Biomolecular Systems using discrete macrostates; Challenges in applying Monte Carlo sampling to biomolecular systems; Coarse graining and multiscale models; Coarse Grained Protein Models; Generalized Multi-Level Coarse-Grained Molecular Simulation and Its Applucation to Myosin-V Movement; Top-down Mesoscale Models and Free Energy Calculations of Multivalent Protein-Protein and Protein-Membrane Interactions in Nanocarrier Adhesion and Receptor Trafficking; Studying Proteins and Peptides at Material Surfaces; Multiscale Design: From Theory to Practice. Volume 2 Atomistic simulations of nucleic acids and nucleic acid complexes; Modeling nucleic acid structure and flexibility: from atomic to mesoscopic scale; Molecular dynamics and force field based methods for studying quadruplex nucleic acids; Opposites attract: Shape and Electrostatic Complementarity in Protein/DNA Complexes; Intrinsic motions of DNA polymerases underlie their remarkable specificity and selectivity and suggest a hybrid substrate binding mechanism; Molecular Dynamics Structure Prediction of a Novel Protein/DNA Complex: Two HU Proteins with a DNA Four-way Junction; Molecular Dynamics Simulations of RNA Molecules; The Structure and Folding of Helical Junctions in RNA; DNA folding, knotting, sliding and hopping; Simulations of DNA Knots and Catenanes; Monte Carlo Simulations of Nucleosome Chains to Idenitfy Factors that control DNA Compaction and Access; Sliding Dynamics Along DNA: a Molecular Perspective; Drug design; Structure-based design technology: CONTOUR and its aplication to drug discovery; Molecular simulation in computer-aided drug design: algorithms and applications; Computer-aided drug discovery: two antiviral drugs for HIV AIDS

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Book SynopsisWith nearly 400 original illustrations, this NMR primer provides an introduction to solution NMR spectroscopy at a level appropriate for advanced undergraduates, graduate students and working scientists with backgrounds in chemistry or biochemistry. It presents the underlying physics and mathematics in a way that is both accessible and sufficiently complete to allow a real understanding of modern multi-dimensional experiments, thereby giving readers the tools they need to move to more advanced textbooks and articles. One special feature of this text is a thorough, but accessible, treatment of spin quantum mechanics, including scalar-coupled spins. A novel style of vector diagram is used to represent the quantum correlations between coupled spins and the manipulation of these correlations by pulses and time evolution. This will help to clarify what is arguably the most difficult aspect of NMR for students and practitioners to master. Key Features: - Hundreds of original illustrations show both traditional and non-traditional vector diagrams, that describe the correlations between scalar-coupled spins. The non-traditional vector diagrams are a unique highlight of this text, and are used to illustrate experiments based on scalar coupling and as an aid to product-operator calculations. - Numerical simulations are used to illustrate many important ideas, including standard data processing techniques and the random processes associated with NMR relaxation. - Important mathematical concepts and techniques, such as complex numbers and the Fourier transformation, are introduced where they are required in the text. - Each chapter includes chapter-ending problems and exercises as well as a summary of major points and references for further reading.Table of Contents1. An overview of modern solution NMR 2. An introduction to spin and nuclear magnetism 3. Early NMR experiments 4. Chemical information from resonance frequencies 5. The pulse NMR methods: The pulse 6. The pulse NMR method: The signal and spectrum 7. Relaxation 8. A more mathematical look at relaxation 9. Cross relaxation and the nuclear Overhauser effect 10. Two-dimensional NMR experiments 11. The mathematical formalism of quantum mechanics 12. More quantum mechanics: Time and energy 13. Quantum description of a scalar-coupled spin pair 14. NMR spectroscopy of a weakly-coupled spin pair 15. Two-dimensional spectra based on scalar coupling 16. Heteronuclear NMR techniques 17. Introduction to the density matrix 18. The product-operator formalism Appendix A: List of symbols, numerical constants and abbreviations Appendix B: Trigonometric functions and complex numbers Appendix C: Fourier series and transforms Appendix D: Vectors and matrices Appendix E: Mathematics for uncoupled spin-1/2 particles Appendix F: Mathematics of the two-spin system Index

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Book SynopsisThis open access book, edited and authored by a team of world-leading researchers, provides a broad overview of advanced photonic methods for nanoscale visualization, as well as describing a range of fascinating in-depth studies. Introductory chapters cover the most relevant physics and basic methods that young researchers need to master in order to work effectively in the field of nanoscale photonic imaging, from physical first principles, to instrumentation, to mathematical foundations of imaging and data analysis. Subsequent chapters demonstrate how these cutting edge methods are applied to a variety of systems, including complex fluids and biomolecular systems, for visualizing their structure and dynamics, in space and on timescales extending over many orders of magnitude down to the femtosecond range. Progress in nanoscale photonic imaging in Göttingen has been the sum total of more than a decade of work by a wide range of scientists and mathematicians across disciplines, working together in a vibrant collaboration of a kind rarely matched. This volume presents the highlights of their research achievements and serves as a record of the unique and remarkable constellation of contributors, as well as looking ahead at the future prospects in this field. It will serve not only as a useful reference for experienced researchers but also as a valuable point of entry for newcomers. Table of ContentsPart I: Fundamentals and Tutorials.- Basic Knowledge in STED Nanoscopy (A. Egner, C. Geisler, and R. Siegmund).- Basic Knowledge in Coherent X-ray Imaging (T. Salditt, A.-L. Robisch).- Basic Knowledge: X-ray Focusing & Optics (T. Salditt and M. Osterhoff).- Statistical Foundations of Nanoscale Photonic Imaging (A. Munk, T. Staudt, and F. Werner).- Inverse Problems (T. Hohage, B. Sprung, and F. Weidling).- Proximal Methods for Image Processing (D. R. Luke).- Part II: Progress and Perspectives.- Quantifying the Number of Molecules in STED/RESOLFT Nanoscopy (J. Keller-Findeisen, S. Sahl, and S. W. Hell).- Metal-Induced Energy Transfer Imaging (A. I. Chizhik, and J. Enderlein).- Reversibly Switchable Fluorescent Proteins for RESOLFT Nanoscopy (N. A. Jensen, I. Jansen, M. Kamper, and S. Jakobs).- A Statistical and Biophysical Toolbox to Elucidate Structure and Formation of Stress Fibers (B. Eltzner, L. Hauke, S. Huckemann, F. Fehfeldt, and C. Wollnik).- Photonic Imaging with Statistical Guarantees: From Multiscale Testing to Multiscale Estimation (A. Munk, K. Proksch, H. Li, and F. Werner).- Efficient, Quantitative Numerical Methods for Statistical Image Deconvolution and Denoising (D. R. Luke, C. Charitha, R. Shefi, and Y. Malitsky).- Holographic Imaging and Tomography of Biological Cells and Tissues (T. Salditt, and M. Töpperwien).- Constrained Reconstructions in X-ray Phase Contrast Imaging: Uniqueness, Stability and Algorithms (S. Maretzke, T. Hohage).- Scanning Small-Angle X-ray Scattering and Coherent X-ray Imaging of Cells (T. Salditt and S. Köster).- Single Particle Imaging with FEL using Photon Correlations (B. von Ardenne and H. Grubmüller).- Development of Ultrafast X-ray Free Electron Laser Tools in (Bio)Chemical Research (S. Techert, S. Thekku Veedu, S. Bari).- Polarization-sensitive Coherent Diffractive Imaging Using HHG (S. Zayko, O. Kfir, and C. Ropers).- Nonlinear Light Generation in Localized Fields Using Gases and Tailored Solids (M. Sivis and C. Ropers).- Wavefront and Coherence Characteristics of Extreme UV and Soft X-ray Sources (B. Schäfer, B. Flöter, T. Mey, and K. Mann).- Laboratory-scale Soft X-ray Source for Microscopy and Absorption Spectroscopy (M. Müller and K. Mann).- Multilayer Zone Plates for Hard X-ray Imaging (M. Osterhoff and H.-U. Krebs).- Convergence Analysis of Iteraive Algorithms for Phase Retrieval (D. R. Luke and A.-L. Martins).- One-Dimensional Discrete-Time Phase Retrieval (R. Beinert and G. Plonka).

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Book SynopsisThis new book consolidates the current knowledge of lower extremity biomechanics and pathomechanics and makes this information relevant to the study of common foot and ankle pathologies. The content is presented in a language and format that allows the clinician to review current evidence explaining the etiology of these disorders in order to formulate effective treatment interventions. In order to understand pathomechanics, the clinician must also become versed in the normal, healthy biomechanics of the lower extremity. A review of gait, muscle function and forces acting on the lower extremities during physical activity will be the focus of the first part of this book. The second part of the book will study the common, challenging pathologies treated on a daily basis by foot and ankle clinicians: hallux abducto valgus, hallux rigidus, metatarsalgia, digital deformities, adult acquired flatfoot, and plantar heel pain. These chapters discuss all the relevant factors contributing to these conditions, evaluating and exposing myths and misconceptions about the pathomechanics and treatments of these conditions. For each disorder, a comprehensive review of published research provides a foundation for an updated, valid description of etiology and risk factors. Providing a fresh approach to lower extremity pathomechanics and management strategies, Pathomechanics of Common Foot Disorders is a valuable resource for podiatrists and orthopedic foot and ankle surgeons at all levels. Table of ContentsPreface Chapter 1: Comparative Anatomy and Introduction to the Twisted Plate Mechanism Chapter 2: Human Walking: The Gait Cycle Chapter 3: Motion of the Foot: Joints, Muscles and Sensorimotor Control Chapter 4: Disorders of the First Ray: Part 1: Hallux Abductovalgus Deformity Chapter 5: Disorders of the First Ray: Part 2: Hypermobility, Functional Hallux Limitus and Hallux Rigidus Chapter 6: Metatarsalgia and Digital Deformities Chapter 7: Adult Acquired Flatfoot Chapter 8: Plantar Heel Pain

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Book SynopsisMechanics of Biological Systems & Micro-and Nanomechanics, Volume 5 of the Proceedings of the 2020 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the fifth volume of seven from the Conference, brings together contributions to important areas of research and engineering. The collection presents early findings and case studies on a wide range of topics, including:Cell Mechanics & Traumatic Brain InjuryMicromechanical TestingAdhesion and FractureMEMS Devices and TechnologyNano-scale Deformation Mechanisms1D & 2D MaterialsTribology & WearResearch and Applications in ProgressTable of ContentsChapter 1. Determination of Texture Properties of White Long Turnip Flesh.- Chapter 2. Impact Testing of a Commercial Poly-Lactic Acid.- Chapter 3. Underwater Explosion Gas Bubble Collapse in the Vicinity of a Rigid Boundary.- Chapter 4. Optimization for Improved Energy Absorption and the Effect of Density Gradation in Cellular Materials.- Chapter 5. Quantifying Ultrasonic Deformation of Cell Membranes with Ultra-High Speed Imaging.- Chapter 6. A Mathematical Model of Nitric Oxide Mechanotransduction in Brain.- Chapter 7. Evaluating the Application 0f DIC on Heartbeat Detection by Using a Self-Developed Artery Vessel Simulator.- Chapter 8. Measuring Strain Distribution of Knee Cartilage Using Digital Volume Correlation.- Chapter 9. Characterization of Shear Band Nucleation and Propagation in Bulk Metallic Glasses.- Chapter 10. Suppression of Parkisonian Hand Tremors.- Chapter 11. Biomechanical Testing of Human Red Blood Cells Under Controlled Oxygen Tension.- Chapter 12. High Speed Holographic Shape and Vibration Measurement of the Semi-transparent Tympanic Membrane.- Chapter 13. Adhesion Index- A Novel Bio-compatibility Assessment Standard for Medical Devices.- Chapter 14. Evaluate the Fidelity of Synthetic Tissues Used in Escharotomy Simulators.- Chapter 15. Bacterial Cell Wall Glycopolymers Affect Polymer Chain Alignment and Mechanics of Streptococcus mutans.- Chapter 16. Characterization of Reversible Tablet Sliding In Nacre From Haliotis Rufescens (Red Abalone).- Chapter 17. Failure of Three-Tab Shingle System Subjected to Wind Gusts up to 150 MPH – A DIC Based Study.- Chapter 18. Design and Rapid Prototyping of Fiber Optic-Based Micro-Force Sensors by Two-Photon Polymerization.- Chapter 19. Experimental study of shear and tensile properties of LIGA Ni-Fe and Ni-Co alloys at quasi-static and intermediate strain rates.

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Book SynopsisE-health is closely related with networks and telecommunications when dealing with applications of collecting or transferring medical data from distant locations for performing remote medical collaborations and diagnosis. In this book we provide an overview of the fields of image and signal processing for networked and distributed e-health applications and their supporting technologies. The book is structured in 10 chapters, starting the discussion from the lower end, that of acquisition and processing of biosignals and medical images and ending in complex virtual reality systems and techniques providing more intuitive interaction in a networked medical environment. The book also discusses networked clinical decision support systems and corresponding medical standards, WWW-based applications, medical collaborative platforms, wireless networking, and the concepts of ambient intelligence and pervasive computing in electronic healthcare systems.Table of ContentsIntroduction.- Signal Processing for Telemedicine Applications.- Medical Data Encoding for Transmission.- Clinical Decision Support Systems for Remote and Commuting Clinicians.- Medical Data Coding and Standards.- Web Technologies for Networked E-Health Applications.- Distributed Collaborative Platforms for Medical Diagnosis over the Internet.- Distributed Telemedicine based on Wireless and Ad Hoc Networking.- Ambient Intelligence and Pervasive Computing for Distributed Networked E-Health Applications.- Telemedicine and Virtual Reality.

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Book SynopsisThis lecture book is intended to be an accessible and comprehensive introduction to random signal processing with an emphasis on the real-world applications of biosignals. Although the material has been written and developed primarily for advanced undergraduate biomedical engineering students it will also be of interest to engineers and interested biomedical professionals of any discipline seeking an introduction to the field. Within education, most biomedical engineering programs are aimed to provide the knowledge required of a graduate student while undergraduate programs are geared toward designing circuits and of evaluating only the cardiac signals. Very few programs teach the processes with which to evaluate brainwave, sleep, respiratory sounds, heart valve sounds, electromyograms, electro-oculograms, or random signals acquired from the body. The primary goal of this lecture book is to help the reader understand the time and frequency domain processes which may be used and to evaluate random physiological signals. A secondary goal is to learn the evaluation of actual mammalian data without spending most the time writing software programs. This publication utilizes “DADiSP”, a digital signal processing software, from the DSP Development Corporation.Table of ContentsBiomedical Engineering Signal Analysis.- System Classification.- Classification of Signals.- Basis Functions and Signal Representation.- Data Acquisition Process.- Sampling Theory and Analog-to-Digital Conversion.- Stationarity and Ergodic Random Processes.- Nonparametric Statistic and the Runs Test for Stationarity.- Correlation Functions.- Convolution.- Digital Filters.- Fourier Series: Trigonometric.- Fast Fourier Transform.- Truncation of the Infinite Fourier Transform.- Spectral Analysis.- Window Functions and Spectral Leakage.- Transfer Function Via Spectral Analysis.- Coherence Function from Spectral Analysis.- Error in Random Data Estimate Analysis (Information Is Paraphrased from Bendat & Piersol).

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Book SynopsisThis is the first in a series of short books on probability theory and random processes for biomedical engineers. This text is written as an introduction to probability theory. The goal was to prepare students, engineers and scientists at all levels of background and experience for the application of this theory to a wide variety of problems—as well as pursue these topics at a more advanced level. The approach is to present a unified treatment of the subject. There are only a few key concepts involved in the basic theory of probability theory. These key concepts are all presented in the first chapter. The second chapter introduces the topic of random variables. Later chapters simply expand upon these key ideas and extend the range of application. A considerable effort has been made to develop the theory in a logical manner—developing special mathematical skills as needed. The mathematical background required of the reader is basic knowledge of differential calculus. Every effort has been made to be consistent with commonly used notation and terminology—both within the engineering community as well as the probability and statistics literature. Biomedical engineering examples are introduced throughout the text and a large number of self-study problems are available for the reader.Table of ContentsIntroduction.- Random Variables.

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Book SynopsisThis is the second in a series of three short books on probability theory and random processes for biomedical engineers. This volume focuses on expectation, standard deviation, moments, and the characteristic function. In addition, conditional expectation, conditional moments and the conditional characteristic function are also discussed. Jointly distributed random variables are described, along with joint expectation, joint moments, and the joint characteristic function. Convolution is also developed. A considerable effort has been made to develop the theory in a logical manner—developing special mathematical skills as needed. The mathematical background required of the reader is basic knowledge of differential calculus. Every effort has been made to be consistent with commonly used notation and terminology—both within the engineering community as well as the probability and statistics literature. The aim is to prepare students for the application of this theory to a wide variety of problems, as well give practicing engineers and researchers a tool to pursue these topics at a more advanced level. Pertinent biomedical engineering examples are used throughout the text.Table of ContentsExpectation.- Bivariate Random Variables.

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Book SynopsisThis is the third in a series of short books on probability theory and random processes for biomedical engineers. This book focuses on standard probability distributions commonly encountered in biomedical engineering. The exponential, Poisson and Gaussian distributions are introduced, as well as important approximations to the Bernoulli PMF and Gaussian CDF. Many important properties of jointly Gaussian random variables are presented. The primary subjects of the final chapter are methods for determining the probability distribution of a function of a random variable. We first evaluate the probability distribution of a function of one random variable using the CDF and then the PDF. Next, the probability distribution for a single random variable is determined from a function of two random variables using the CDF. Then, the joint probability distribution is found from a function of two random variables using the joint PDF and the CDF. The aim of all three books is as an introduction to probability theory. The audience includes students, engineers and researchers presenting applications of this theory to a wide variety of problems—as well as pursuing these topics at a more advanced level. The theory material is presented in a logical manner—developing special mathematical skills as needed. The mathematical background required of the reader is basic knowledge of differential calculus. Pertinent biomedical engineering examples are throughout the text. Drill problems, straightforward exercises designed to reinforce concepts and develop problem solution skills, follow most sections.Table of ContentsStandard Probability Distributions.- Transformations of Random Variables.

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Book SynopsisThis short book provides basic information about bioinstrumentation and electric circuit theory. Many biomedical instruments use a transducer or sensor to convert a signal created by the body into an electric signal. Our goal here is to develop expertise in electric circuit theory applied to bioinstrumentation. We begin with a description of variables used in circuit theory, charge, current, voltage, power and energy. Next, Kirchhoff's current and voltage laws are introduced, followed by resistance, simplifications of resistive circuits and voltage and current calculations. Circuit analysis techniques are then presented, followed by inductance and capacitance, and solutions of circuits using the differential equation method. Finally, the operational amplifier and time varying signals are introduced. This lecture is written for a student or researcher or engineer who has completed the first two years of an engineering program (i.e., 3 semesters of calculus and differential equations). A considerable effort has been made to develop the theory in a logical manner—developing special mathematical skills as needed. At the end of the short book is a wide selection of problems, ranging from simple to complex.Table of ContentsIntroduction.- Basic Bioinstrumentation System.- Charge, Current, Voltage, Power and Energy.- Resistance.- Linear Network Analysis.- Thevenin’s and Norton’s Theorems.- Inductors.- Capacitors.- Inductance and Capacitance Combinations.- General Approach to Solving Circuits Involving Resistors, Capacitors and Inductors.- Operational Amplifiers.- Time-Varying Signals.- Active Analog Filters.- Bioinstrumentation Design.- Exercises.

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Book SynopsisThis book aims to provide vital information about the growing field of bionanotechnology for undergraduate and graduate students, as well as working professionals in various fields. The fundamentals of nanotechnology are covered along with several specific bionanotechnology applications, including nanobioimaging and drug delivery which is a growing $100 billions industry. The uniqueness of the field has been brought out with unparalleled lucidity; a balance between important insight into the synthetic methods of preparing stable nano-structures and medical applications driven focus educates and informs the reader on the impact of this emerging field. Critical examination of potential threats followed by a current global outlook completes the discussion. In short, the book takes you through a journey from fundamentals to frontiers of bionanotechnology so that you can understand and make informed decisions on the impact of bionano on your career and business.Table of ContentsIntroduction.- The Significance ofNano Domain.- Nano Drug Delivery.- BioNanoimaging.- Successful Applications of Bionanotechnology.- Synthesis of Gold, Titania, and Zinc Oxide.- Is Bionanotechnology a Panacea?.- Roadmap toRealization of Bionanotechnology.

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Book SynopsisThere are many books written about statistics, some brief, some detailed, some humorous, some colorful, and some quite dry. Each of these texts is designed for a specific audience. Too often, texts about statistics have been rather theoretical and intimidating for those not practicing statistical analysis on a routine basis. Thus, many engineers and scientists, who need to use statistics much more frequently than calculus or differential equations, lack sufficient knowledge of the use of statistics. The audience that is addressed in this text is the university-level biomedical engineering student who needs a bare-bones coverage of the most basic statistical analysis frequently used in biomedical engineering practice. The text introduces students to the essential vocabulary and basic concepts of probability and statistics that are required to perform the numerical summary and statistical analysis used in the biomedical field. This text is considered a starting point for important issues to consider when designing experiments, summarizing data, assuming a probability model for the data, testing hypotheses, and drawing conclusions from sampled data. A student who has completed this text should have sufficient vocabulary to read more advanced texts on statistics and further their knowledge about additional numerical analyses that are used in the biomedical engineering field but are beyond the scope of this text. This book is designed to supplement an undergraduate-level course in applied statistics, specifically in biomedical engineering. Practicing engineers who have not had formal instruction in statistics may also use this text as a simple, brief introduction to statistics used in biomedical engineering. The emphasis is on the application of statistics, the assumptions made in applying the statistical tests, the limitations of these elementary statistical methods, and the errors often committed in using statistical analysis. A number of examples from biomedical engineering research and industry practice are provided to assist the reader in understanding concepts and application. It is beneficial for the reader to have some background in the life sciences and physiology and to be familiar with basic biomedical instrumentation used in the clinical environment. Contents: Introduction / Collecting Data and Experimental Design / Data Summary and Descriptive Statistics / Assuming a Probability Model from the Sample Data / Statistical Inference / Linear Regression and Correlation Analysis / Power Analysis and Sample Size / Just the Beginning / BibliographyTable of ContentsContents: Introduction.- Collecting Data and Experimental Design.- Data Summary and Descriptive Statistics.- Assuming a Probability Model from the Sample Data.- Statistical Inference.- Linear Regression and Correlation Analysis.- Power Analysis and Sample Size.- Just the Beginning.- Bibliography.

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Book SynopsisNeural interfaces are one of the most exciting emerging technologies to impact bioengineering and neuroscience because they enable an alternate communication channel linking directly the nervous system with man-made devices. This book reveals the essential engineering principles and signal processing tools for deriving control commands from bioelectric signals in large ensembles of neurons. The topics featured include analysis techniques for determining neural representation, modeling in motor systems, computing with neural spikes, and hardware implementation of neural interfaces. Beginning with an exploration of the historical developments that have led to the decoding of information from neural interfaces, this book compares the theory and performance of new neural engineering approaches for BMIs. Contents: Introduction to Neural Interfaces / Foundations of Neuronal Representations / Input-Outpur BMI Models / Regularization Techniques for BMI Models / Neural Decoding Using Generative BMI Models / Adaptive Algorithms for Point Processes / BMI SystemsTable of ContentsContents: Introduction to Neural Interfaces.- Foundations of Neuronal Representations.- Input-Outpur BMI Models.- Regularization Techniques for BMI Models.- Neural Decoding Using Generative BMI Models.- Adaptive Algorithms for Point Processes.- BMI Systems.

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Book SynopsisIn the last ten years many different brain imaging devices have conveyed a lot of information about the brain functioning in different experimental conditions. In every case, the biomedical engineers, together with mathematicians, physicists and physicians are called to elaborate the signals related to the brain activity in order to extract meaningful and robust information to correlate with the external behavior of the subjects. In such attempt, different signal processing tools used in telecommunications and other field of engineering or even social sciences have been adapted and re-used in the neuroscience field. The present book would like to offer a short presentation of several methods for the estimation of the cortical connectivity of the human brain. The methods here presented are relatively simply to implement, robust and can return valuable information about the causality of the activation of the different cortical areas in humans using non invasive electroencephalographic recordings. The knowledge of such signal processing tools will enrich the arsenal of the computational methods that a engineer or a mathematician could apply in the processing of brain signals. Table of Contents: Introduction / Estimation of the Effective Connectivity from Stationary Data by Structural Equation Modeling / Estimation of the Functional Connectivity from Stationary Data by Multivariate Autoregressive Methods / Estimation of Cortical Activity by the use of Realistic Head Modeling / Application: Estimation of Connectivity from Movement-Related Potentials / Application to High-Resolution EEG Recordings in a Cognitive Task (Stroop Test) / Application to Data Related to the Intention of Limb Movements in Normal Subjects and in a Spinal Cord Injured Patient / The Instantaneous Estimation of the Time-Varying Cortical Connectivity by Adaptive Multivariate Estimators / Time-Varying Connectivity from Event-Related PotentialsTable of ContentsIntroduction.- Estimation of the Effective Connectivity from Stationary Data by Structural Equation Modeling.- Estimation of the Functional Connectivity from Stationary Data by Multivariate Autoregressive Methods.- Estimation of Cortical Activity by the use of Realistic Head Modeling.- Application: Estimation of Connectivity from Movement-Related Potentials.- Application to High-Resolution EEG Recordings in a Cognitive Task (Stroop Test).- Application to Data Related to the Intention of Limb Movements in Normal Subjects and in a Spinal Cord Injured Patient.- The Instantaneous Estimation of the Time-Varying Cortical Connectivity by Adaptive Multivariate Estimators.- Time-Varying Connectivity from Event-Related Potentials.

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Book SynopsisThis book is concerned with the study of continuum mechanics applied to biological systems, i.e., continuum biomechanics. This vast and exciting subject allows description of when a bone may fracture due to excessive loading, how blood behaves as both a solid and fluid, down to how cells respond to mechanical forces that lead to changes in their behavior, a process known as mechanotransduction. We have written for senior undergraduate students and first year graduate students in mechanical or biomedical engineering, but individuals working at biotechnology companies that deal in biomaterials or biomechanics should also find the information presented relevant and easily accessible. Table of Contents: Tensor Calculus / Kinematics of a Continuum / Stress / Elasticity / Fluids / Blood and Circulation / Viscoelasticity / Poroelasticity and Thermoelasticity / Biphasic TheoryTable of ContentsTensor Calculus.- Kinematics of a Continuum.- Stress.- Elasticity.- Fluids.- Blood and Circulation.- Viscoelasticity.- Poroelasticity and Thermoelasticity.- Biphasic Theory.

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Book SynopsisTremor represents one of the most common movement disorders worldwide. It affects both sexes and may occur at any age. In most cases, tremor is disabling and causes social difficulties, resulting in poorer quality of life. Tremor is now recognized as a public health issue given the aging of the population. Tremor is a complex phenomenon that has attracted the attention of scientists from various disciplines. Tremor results from dynamic interactions between multiple synaptically coupled neuronal systems and the biomechanical, physical, and electrical properties of the external effectors. There have been major advances in our understanding of tremor pathogenesis these last three decades, thanks to new imaging techniques and genetic discoveries. Moreover, significant progress in computer technologies, developments of reliable and unobtrusive wearable sensors, improvements in miniaturization, and advances in signal processing have opened new perspectives for the accurate characterization and daily monitoring of tremor. New therapies are emerging. In this book, we provide an overview of tremor from pathogenesis to therapeutic aspects. We review the definitions, the classification of the varieties of tremor, and the contribution of central versus peripheral mechanisms. Neuroanatomical, neurophysiological, neurochemical, and pharmacological topics related to tremor are pointed out. Our goals are to explain the fundamental basis of tremor generation, to show the recent technological developments, especially in instrumentation, which are reshaping research and clinical practice, and to provide up-to-date information related to emerging therapies. The integrative transdisciplinary approach has been used, combining engineering and physiological principles to diagnose, monitor, and treat tremor. Guidelines for evaluation of tremor are explained. This book has been written for biomedical engineering students, engineers, researchers, medical students, biologists, neurologists, and biomedical professionals of any discipline looking for an updated and multidisciplinary overview of tremor. It can be used for biomedical courses. Table of Contents: Introduction / Anatomical Overview of the Central and Peripheral Nervous System / Physiology of the Nervous System / Characterization of Tremor / Prinipal Disorders Associated with Tremor / Quantification of Tremor / Mechanisms of Tremor / TreatmentsTable of ContentsIntroduction.- Anatomical Overview of the Central and Peripheral Nervous System.- Physiology of the Nervous System.- Characterization of Tremor.- Prinipal Disorders Associated with Tremor.- Quantification of Tremor.- Mechanisms of Tremor.- Treatments.

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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.

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Book SynopsisHeredity performs literal communication of immensely long genomes through immensely long time intervals. Genomes nevertheless incur sporadic errors referred to as mutations which have significant and often dramatic effects, after a time interval as short as a human life. How can faithfulness at a very large timescale and unfaithfulness at a very short one be conciliated? The engineering problem of literal communication has been completely solved during the second half of the XX-th century. Originating in 1948 from Claude Shannon's seminal work, information theory provided means to measure information quantities and proved that communication is possible through an unreliable channel (by means left unspecified) up to a sharp limit referred to as its capacity, beyond which communication becomes impossible. The quest for engineering means of reliable communication, named error-correcting codes, did not succeed in closely approaching capacity until 1993 when Claude Berrou and Alain Glavieux invented turbocodes. By now, the electronic devices which invaded our daily lives (e.g., CD, DVD, mobile phone, digital television) could not work without highly efficient error-correcting codes. Reliable communication through unreliable channels up to the limit of what is theoretically possible has become a practical reality: an outstanding achievement, however little publicized. As an engineering problem that nature solved aeons ago, heredity is relevant to information theory. The capacity of DNA is easily shown to vanish exponentially fast, which entails that error-correcting codes must be used to regenerate genomes so as to faithfully transmit the hereditary message. Moreover, assuming that such codes exist explains basic and conspicuous features of the living world, e.g., the existence of discrete species and their hierarchical taxonomy, the necessity of successive generations and even the trend of evolution towards increasingly complex beings. Providing geneticists with an introduction to information theory and error-correcting codes as necessary tools of hereditary communication is the primary goal of this book. Some biological consequences of their use are also discussed, and guesses about hypothesized genomic codes are presented. Another goal is prompting communication engineers to get interested in genetics and biology, thereby broadening their horizon far beyond the technological field, and learning from the most outstanding engineer: Nature. Table of Contents: Foreword / Introduction / A Brief Overview of Molecular Genetics / An Overview of Information Theory / More on Molecular Genetics / More on Information Theory / An Outline of Error-Correcting Codes / DNA is an Ephemeral Memory / A Toy Living World / Subsidiary Hypothesis, Nested System / Soft Codes / Biological Reality Conforms to the Hypotheses / Identification of Genomic Codes / Conclusion and PerspectivesTable of ContentsForeword.- Introduction.- A Brief Overview of Molecular Genetics.- An Overview of Information Theory.- More on Molecular Genetics.- More on Information Theory.- An Outline of Error-Correcting Codes.- DNA is an Ephemeral Memory.- A Toy Living World.- Subsidiary Hypothesis, Nested System.- Soft Codes.- Biological Reality Conforms to the Hypotheses.- Identification of Genomic Codes.- Conclusion and Perspectives.

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Book SynopsisLung sounds auscultation is often the first noninvasive resource for detection and discrimination of respiratory pathologies available to the physician through the use of the stethoscope. Hearing interpretation, though, was the only means of appreciation of the lung sounds diagnostic information for many decades. Nevertheless, in recent years, computerized auscultation combined with signal processing techniques has boosted the diagnostic capabilities of lung sounds. The latter were traditionally analyzed and characterized by morphological changes in the time domain using statistical measures, by spectral properties in the frequency domain using simple spectral analysis, or by nonstationary properties in a joint time–frequency domain using short-time Fourier transform. Advanced signal processing techniques, however, have emerged in the last decade, broadening the perspective in lung sounds analysis. The scope of this book is to present up-to-date signal processing techniques that have been applied to the area of lung sound analysis. It starts with a description of the nature of lung sounds and continues with the introduction of new domains in their representation, new denoising techniques, and concludes with some reflective implications, both from engineers’ and physicians’ perspective. Issues of nonstationarity, nonlinearity, non-Gaussianity, modeling, and classification of lung sounds are addressed with new methodologies, revealing a more realistic approach to their pragmatic nature. Advanced denoising techniques that effectively circumvent the noise presence (e.g., heart sound interference, background noise) in lung sound recordings are described, providing the physician with high-quality auscultative data. The book offers useful information both to engineers and physicians interested in bioacoustics, clearly demonstrating the current trends in lung sound analysis. Table of Contents: The Nature of Lung Sound Signals / New Domains in LS Representation / Denoising Techniques / Reflective ImplicationsTable of ContentsThe Nature of Lung Sound Signals.- New Domains in LS Representation.- Denoising Techniques.- Reflective Implications.

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Book SynopsisThis book provides an introduction to the principles of several of the more widely used methods in medical imaging. Intended for engineering students, it provides a final-year undergraduate- or graduate-level introduction to several imaging modalities, including MRI, ultrasound, and X-Ray CT. The emphasis of the text is on mathematical models for imaging and image reconstruction physics. Emphasis is also given to sources of imaging artefacts. Such topics are usually not addressed across the different imaging modalities in one book, and this is a notable strength of the treatment given here. Table of Contents: Introduction / Diagnostic X-Ray Imaging / X-Ray CT / Ultrasonics / Pulse-Echo Ultrasonic Imaging / Doppler Velocimetry / An Introduction to MRITable of ContentsIntroduction.- Diagnostic X-Ray Imaging.- X-Ray CT.- Ultrasonics.- Pulse-Echo Ultrasonic Imaging.- Doppler Velocimetry.- An Introduction to MRI.

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Book SynopsisThe book presents recent advances in signal processing techniques for modeling, analysis, and understanding of the heart's electrical activity during atrial fibrillation. This arrhythmia is the most commonly encountered in clinical practice and its complex and metamorphic nature represents a challenging problem for clinicians, engineers, and scientists. Research on atrial fibrillation has stimulated the development of a wide range of signal processing tools to better understand the mechanisms ruling its initiation, maintenance, and termination. This book provides undergraduate and graduate students, as well as researchers and practicing engineers, with an overview of techniques, including time domain techniques for atrial wave extraction, time-frequency analysis for exploring wave dynamics, and nonlinear techniques to characterize the ventricular response and the organization of atrial activity. The book includes an introductory chapter about atrial fibrillation and its mechanisms, treatment, and management. The successive chapters are dedicated to the analysis of atrial signals recorded on the body surface and to the quantification of ventricular response. The rest of the book explores techniques to characterize endo- and epicardial recordings and to model atrial conduction. Under the appearance of being a monothematic book on atrial fibrillation, the reader will not only recognize common problems of biomedical signal processing but also discover that analysis of atrial fibrillation is a unique challenge for developing and testing novel signal processing tools. Table of Contents: Analysis of Ventricular Response During Atrial Fibrillation / Organization Measures of Atrial Activity During Fibrillation / Modeling Atrial Fibrillation: From Myocardial Cells to ECG / Algorithms for Atrial Tachyarrythmia Detection for Long-Term Monitoring with Implantable DevicesTable of ContentsAnalysis of Ventricular Response During Atrial Fibrillation.- Organization Measures of Atrial Activity During Fibrillation.- Modeling Atrial Fibrillation: From Myocardial Cells to ECG.- Algorithms for Atrial Tachyarrythmia Detection for Long-Term Monitoring with Implantable Devices.

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Book SynopsisThis textbook is intended for undergraduate students (juniors or seniors) in Biomedical Engineering, with the main goal of helping these students learn about classical control theory and its application in physiological systems. In addition, students should be able to apply the Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW) Controls and Simulation Modules to mammalian physiology. The first four chapters review previous work on differential equations for electrical and mechanical systems. Chapters 5 through 8 present the general types and characteristics of feedback control systems and foot locus, frequency response, and analysis of stability and margins. Chapters 9 through 12 cover basic LabVIEW programming, the control module with its pallets, and the simulation module with its pallets. Chapters 13 through 17 present various physiological models with several LabVIEW control analyses. These chapters cover control of the heart (heart rate, stroke volume, and cardiac output), the vestibular system and its role in governing equilibrium and perceived orientation, vestibulo-ocular reflex in stabilizing an image on the surface of the retina during head movement, mechanical control models of human gait (walking movement), and the respiratory control model. The latter chapters (Chapters 13-17) combine details from my class lecture notes in regard to the application of LabVIEW control programming by the class to produce the control virtual instruments and graphical displays (root locus, Bode plots, and Nyquist plot). This textbook was developed in cooperation with National Instruments personnel. Table of Contents: Electrical System Equations / Mechanical Translation Systems / Mechanical Rotational Systems / Thermal Systems and Systems Representation / Characteristics and Types of Feedback Control Systems / Root Locus / Frequency Response Analysis / Stability and Margins / Introduction to LabVIEW / Control Design in LabVIEW / Simulation in LabVIEW / LabVIEW Control Design and Simulation Exercise / Cardiac Control / Vestibular Control System / Vestibulo-Ocular Control System / Gait and Stance Control System / Respiratory Control SystemTable of ContentsElectrical System Equations.- Mechanical Translation Systems.- Mechanical Rotational Systems.- Thermal Systems and Systems Representation.- Characteristics and Types of Feedback Control Systems.- Root Locus.- Frequency Response Analysis.- Stability and Margins.- Introduction to LabVIEW.- Control Design in LabVIEW.- Simulation in LabVIEW.- LabVIEW Control Design and Simulation Exercise.- Cardiac Control.- Vestibular Control System.- Vestibulo-Ocular Control System.- Gait and Stance Control System.- Respiratory Control System.

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Book SynopsisSegmentation and landmarking of computed tomographic (CT) images of pediatric patients are important and useful in computer-aided diagnosis (CAD), treatment planning, and objective analysis of normal as well as pathological regions. Identification and segmentation of organs and tissues in the presence of tumors are difficult. Automatic segmentation of the primary tumor mass in neuroblastoma could facilitate reproducible and objective analysis of the tumor's tissue composition, shape, and size. However, due to the heterogeneous tissue composition of the neuroblastic tumor, ranging from low-attenuation necrosis to high-attenuation calcification, segmentation of the tumor mass is a challenging problem. In this context, methods are described in this book for identification and segmentation of several abdominal and thoracic landmarks to assist in the segmentation of neuroblastic tumors in pediatric CT images. Methods to identify and segment automatically the peripheral artifacts and tissues, the rib structure, the vertebral column, the spinal canal, the diaphragm, and the pelvic surface are described. Techniques are also presented to evaluate quantitatively the results of segmentation of the vertebral column, the spinal canal, the diaphragm, and the pelvic girdle by comparing with the results of independent manual segmentation performed by a radiologist. The use of the landmarks and removal of several tissues and organs are shown to assist in limiting the scope of the tumor segmentation process to the abdomen, to lead to the reduction of the false-positive error, and to improve the result of segmentation of neuroblastic tumors. Table of Contents: Introduction to Medical Image Analysis / Image Segmentation / Experimental Design and Database / Ribs, Vertebral Column, and Spinal Canal / Delineation of the Diaphragm / Delineation of the Pelvic Girdle / Application of Landmarking / Concluding RemarksTable of ContentsIntroduction to Medical Image Analysis.- Image Segmentation.- Experimental Design and Database.- Ribs, Vertebral Column, and Spinal Canal.- Delineation of the Diaphragm.- Delineation of the Pelvic Girdle.- Application of Landmarking.- Concluding Remarks.

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Book SynopsisIntended as an introduction to the field of biomedical engineering, this book covers the topics of biomechanics (Part I) and bioelectricity (Part II). Each chapter emphasizes a fundamental principle or law, such as Darcy's Law, Poiseuille's Law, Hooke's Law, Starling's Law, levers, and work in the area of fluid, solid, and cardiovascular biomechanics. In addition, electrical laws and analysis tools are introduced, including Ohm's Law, Kirchhoff's Laws, Coulomb's Law, capacitors and the fluid/electrical analogy. Culminating the electrical portion are chapters covering Nernst and membrane potentials and Fourier transforms. Examples are solved throughout the book and problems with answers are given at the end of each chapter. A semester-long Major Project that models the human systemic cardiovascular system, utilizing both a Matlab numerical simulation and an electrical analog circuit, ties many of the book's concepts together. Table of Contents: Basic Concepts / Darcy's Law / Poiseuille's Law: Pressure-Driven Flow Through Tubes / Hooke's Law: Elasticity of Tissues and Compliant Vessels / Starling's Law of the Heart, Windkessel Elements and Volume / Euler's Method and First-Order Time Constants / Muscle, Leverage, Work, Energy and PowerTable of ContentsBasic Concepts.- Darcy's Law.- Poiseuille's Law: Pressure-Driven Flow Through Tubes.- Hooke's Law: Elasticity of Tissues and Compliant Vessels.- Starling's Law of the Heart, Windkessel Elements and Volume.- Euler's Method and First-Order Time Constants.- Muscle, Leverage, Work, Energy and Power.

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Book SynopsisThe auscultation method is an important diagnostic indicator for hemodynamic anomalies. Heart sound classification and analysis play an important role in the auscultative diagnosis. The term phonocardiography refers to the tracing technique of heart sounds and the recording of cardiac acoustics vibration by means of a microphone-transducer. Therefore, understanding the nature and source of this signal is important to give us a tendency for developing a competent tool for further analysis and processing, in order to enhance and optimize cardiac clinical diagnostic approach. This book gives the reader an inclusive view of the main aspects in phonocardiography signal processing. Table of Contents: Introduction to Phonocardiography Signal Processing / Phonocardiography Acoustics Measurement / PCG Signal Processing Framework / Phonocardiography Wavelets Analysis / Phonocardiography Spectral Analysis / PCG Pattern Classification / Special Application of Phonocardiography / Phonocardiography Acoustic Imaging and MappingTable of ContentsIntroduction to Phonocardiography Signal Processing.- Phonocardiography Acoustics Measurement.- PCG Signal Processing Framework.- Phonocardiography Wavelets Analysis.- Phonocardiography Spectral Analysis.- PCG Pattern Classification.- Special Application of Phonocardiography.- Phonocardiography Acoustic Imaging and Mapping.

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Book SynopsisThe presence of oriented features in images often conveys important information about the scene or the objects contained; the analysis of oriented patterns is an important task in the general framework of image understanding. As in many other applications of computer vision, the general framework for the understanding of oriented features in images can be divided into low- and high-level analysis. In the context of the study of oriented features, low-level analysis includes the detection of oriented features in images; a measure of the local magnitude and orientation of oriented features over the entire region of analysis in the image is called the orientation field. High-level analysis relates to the discovery of patterns in the orientation field, usually by associating the structure perceived in the orientation field with a geometrical model. This book presents an analysis of several important methods for the detection of oriented features in images, and a discussion of the phase portrait method for high-level analysis of orientation fields. In order to illustrate the concepts developed throughout the book, an application is presented of the phase portrait method to computer-aided detection of architectural distortion in mammograms. Table of Contents: Detection of Oriented Features in Images / Analysis of Oriented Patterns Using Phase Portraits / Optimization Techniques / Detection of Sites of Architectural Distortion in MammogramsTable of ContentsDetection of Oriented Features in Images.- Analysis of Oriented Patterns Using Phase Portraits.- Optimization Techniques.- Detection of Sites of Architectural Distortion in Mammograms.

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Book SynopsisRecent advances in development of sequencing technology has resulted in a deluge of genomic data. In order to make sense of this data, there is an urgent need for algorithms for data processing and quantitative reasoning. An emerging in silico approach, called computational genomic signatures, addresses this need by representing global species-specific features of genomes using simple mathematical models. This text introduces the general concept of computational genomic signatures, and it reviews some of the DNA sequence models which can be used as computational genomic signatures. The text takes the position that a practical computational genomic signature consists of both a model and a measure for computing the distance or similarity between models. Therefore, a discussion of sequence similarity/distance measurement in the context of computational genomic signatures is presented. The remainder of the text covers various applications of computational genomic signatures in the areas of metagenomics, phylogenetics and the detection of horizontal gene transfer. Table of Contents: Genome Signatures, Definition and Background / Other Computational Characterizations as Genome Signatures / Measuring Distance of Biological Sequences Using Genome Signatures / Applications: Phylogeny Construction / Applications: Metagenomics / Applications: Horizontal DNA Transfer DetectionTable of ContentsGenome Signatures, Definition and Background.- Other Computational Characterizations as Genome Signatures.- Measuring Distance of Biological Sequences Using Genome Signatures.- Applications: Phylogeny Construction.- Applications: Metagenomics.- Applications: Horizontal DNA Transfer Detection.

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Book SynopsisThis book represents the first in a two-volume set on biological rhythms. This volume focuses on supporting the claim that biological rhythms are universal and essential characteristics of living organisms, critical for proper functioning of any living system. The author begins by examining the potential reasons for the evolution of biological rhythms: (1) the need for complex, goal-oriented devices to control the timing of their activities; (2) the inherent tendency of feedback control systems to oscillate; and (3) the existence of stable and powerful geophysical cycles to which all organisms must adapt. To investigate the second reason, the author enlists the help of biomedical engineering students to develop mathematical models of various biological systems. One such model involves a typical endocrine feedback system. By adjusting various model parameters, it was found that creating a oscillation in any component of the model generated a rhythmic cascade that made the entire system oscillate. This same approach was used to show how daily light/dark cycles could cascade rhythmic patterns throughout ecosystems and within organisms. Following up on these results, the author discusses how the twin requirements of internal synchronization (precise temporal order necessary for the proper functioning of organisms as complex, goal-oriented devices) and external synchronization (aligning organisms' behavior and physiology with geophysical cycles) supported the evolution of biological clocks. The author then investigates the clock systems that evolved using both conceptual and mathematical models, with the assistance of Dr. Bahrad Sokhansanj, who contributes a chapter on mathematical formulations and models of rhythmic phenomena. With the ubiquity of biological rhythms established, the author suggests a new classification system: the F4LM approach (Function; Frequency; waveForm; Flexibility; Level of biological system expressing rhythms; and Mode of rhythm generation) to investigate biological rhythms. This approach is first used on the more familiar cardiac cycle and then on neural rhythms as exemplified and measured by the electroencephalogram. During the process of investigating neural cycles, the author finds yet another reason for the evolution of biological rhythms: physical constraints, such as those imposed upon long distance neural signaling. In addition, a common theme emerges of a select number of autorhythmic biological oscillators imposing coherent rhythmicity on a larger network or system. During the course of the volume, the author uses a variety of observations, models, experimental results, and arguments to support the original claim of the importance and universality of biological rhythms. In Volume 2, the author will move from the establishment of the critical nature of biological rhythms to how these phenomena may be used to improve human health, well-being, and productivity. In a sense, Volume 1 focuses on the chronobio aspect of chronobioengineering while Volume 2 investigates methods of translating this knowledge into applications, the engineering aspect of chronobioengineering. Table of Contents: Time and Time Again / Walking on Air: An Empirical Proof-of-Concept / Clock Tech, Part 1 / Clock Tech II From External to Internal Timers / Clock Tech III Rise of the CircaRhythms / The Circle Game: Mathematics, Models, and Rhythms / The Power of Circular ReasoningTable of ContentsTime and Time Again.- Walking on Air: An Empirical Proof-of-Concept.- Clock Tech, Part 1.- Clock Tech II From External to Internal Timers.- Clock Tech III Rise of the CircaRhythms.- The Circle Game: Mathematics, Models, and Rhythms.- The Power of Circular Reasoning.

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Book SynopsisFractal analysis is useful in digital image processing for the characterization of shape roughness and gray-scale texture or complexity. Breast masses present shape and gray-scale characteristics in mammograms that vary between benign masses and malignant tumors. This book demonstrates the use of fractal analysis to classify breast masses as benign masses or malignant tumors based on the irregularity exhibited in their contours and the gray-scale variability exhibited in their mammographic images. A few different approaches are described to estimate the fractal dimension (FD) of the contour of a mass, including the ruler method, box-counting method, and the power spectral analysis (PSA) method. Procedures are also described for the estimation of the FD of the gray-scale image of a mass using the blanket method and the PSA method. To facilitate comparative analysis of FD as a feature for pattern classification of breast masses, several other shape features and texture measures are described in the book. The shape features described include compactness, spiculation index, fractional concavity, and Fourier factor. The texture measures described are statistical measures derived from the gray-level cooccurrence matrix of the given image. Texture measures reveal properties about the spatial distribution of the gray levels in the given image; therefore, the performance of texture measures may be dependent on the resolution of the image. For this reason, an analysis of the effect of spatial resolution or pixel size on texture measures in the classification of breast masses is presented in the book. The results demonstrated in the book indicate that fractal analysis is more suitable for characterization of the shape than the gray-level variations of breast masses, with area under the receiver operating characteristics of up to 0.93 with a dataset of 111 mammographic images of masses. The methods and results presented in the book are useful for computer-aided diagnosis of breast cancer. Table of Contents: Computer-Aided Diagnosis of Breast Cancer / Detection and Analysis of\newline Breast Masses / Datasets of Images of Breast Masses / Methods for Fractal Analysis / Pattern Classification / Results of Classification of Breast Masses / Concluding RemarksTable of ContentsComputer-Aided Diagnosis of Breast Cancer.- Detection and Analysis of\newline Breast Masses.- Datasets of Images of Breast Masses.- Methods for Fractal Analysis.- Pattern Classification.- Results of Classification of Breast Masses.- Concluding Remarks.

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Book SynopsisArchitectural distortion is an important and early sign of breast cancer, but because of its subtlety, it is a common cause of false-negative findings on screening mammograms. Screening mammograms obtained prior to the detection of cancer could contain subtle signs of early stages of breast cancer, in particular, architectural distortion. This book presents image processing and pattern recognition techniques to detect architectural distortion in prior mammograms of interval-cancer cases. The methods are based upon Gabor filters, phase portrait analysis, procedures for the analysis of the angular spread of power, fractal analysis, Laws' texture energy measures derived from geometrically transformed regions of interest (ROIs), and Haralick's texture features. With Gabor filters and phase-portrait analysis, 4,224 ROIs were automatically obtained from 106 prior mammograms of 56 interval-cancer cases, including 301 true-positive ROIs related to architectural distortion, and from 52 mammograms of 13 normal cases. For each ROI, the fractal dimension, the entropy of the angular spread of power, 10 Laws' texture energy measures, and Haralick's 14 texture features were computed. The areas under the receiver operating characteristic (ROC) curves obtained using the features selected by stepwise logistic regression and the leave-one-image-out method are 0.77 with the Bayesian classifier, 0.76 with Fisher linear discriminant analysis, and 0.79 with a neural network classifier. Free-response ROC analysis indicated sensitivities of 0.80 and 0.90 at 5.7 and 8.8 false positives (FPs) per image, respectively, with the Bayesian classifier and the leave-one-image-out method. The present study has demonstrated the ability to detect early signs of breast cancer 15 months ahead of the time of clinical diagnosis, on the average, for interval-cancer cases, with a sensitivity of 0.8 at 5.7 FP/image. The presented computer-aided detection techniques, dedicated to accurate detection and localization of architectural distortion, could lead to efficient detection of early and subtle signs of breast cancer at pre-mass-formation stages. Table of Contents: Introduction / Detection of Early Signs of Breast Cancer / Detection and Analysis of Oriented Patterns / Detection of Potential Sites of Architectural Distortion / Experimental Set Up and Datasets / Feature Selection and Pattern Classification / Analysis of Oriented Patterns Related to Architectural Distortion / Detection of Architectural Distortion in Prior Mammograms / Concluding RemarksTable of ContentsIntroduction.- Detection of Early Signs of Breast Cancer.- Detection and Analysis of Oriented Patterns.- Detection of Potential Sites of Architectural Distortion.- Experimental Set Up and Datasets.- Feature Selection and Pattern Classification.- Analysis of Oriented Patterns Related to Architectural Distortion.- Detection of Architectural Distortion in Prior Mammograms.- Concluding Remarks.

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Book SynopsisBiomedical Signals and Systems is meant to accompany a one-semester undergraduate signals and systems course. It may also serve as a quick-start for graduate students or faculty interested in how signals and systems techniques can be applied to living systems. The biological nature of the examples allows for systems thinking to be applied to electrical, mechanical, fluid, chemical, thermal and even optical systems. Each chapter focuses on a topic from classic signals and systems theory: System block diagrams, mathematical models, transforms, stability, feedback, system response, control, time and frequency analysis and filters. Embedded within each chapter are examples from the biological world, ranging from medical devices to cell and molecular biology. While the focus of the book is on the theory of analog signals and systems, many chapters also introduce the corresponding topics in the digital realm. Although some derivations appear, the focus is on the concepts and how to apply them. Throughout the text, systems vocabulary is introduced which will allow the reader to read more advanced literature and communicate with scientist and engineers. Homework and Matlab simulation exercises are presented at the end of each chapter and challenge readers to not only perform calculations and simulations but also to recognize the real-world signals and systems around them. Table of Contents: Preface / Acknowledgments / Introduction / System Types / System Models / Laplace Transform / Block Diagrams / Stability / Feedback / System Response / Control / Time Domain Analysis / Frequency Domain Analysis / Filters / Author's BiographyTable of ContentsPreface.- Acknowledgments.- Introduction.- System Types.- System Models.- Laplace Transform.- Block Diagrams.- Stability.- Feedback.- System Response.- Control.- Time Domain Analysis.- Frequency Domain Analysis.- Filters.- Author's Biography.

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Book SynopsisThe temporomandibular joint (TMJ) is a site of intense morbidity for millions of people, especially young, pre-menopausal women. Central to TMJ afflictions are the cartilaginous tissues of the TMJ, especially those of the disc and condylar cartilage, which play crucial roles in normal function of this unusual joint. Damage or disease to these tissues significantly impacts a patient's quality of life by making common activities such as talking and eating difficult and painful. Unfortunately, these tissues have limited ability to heal, necessitating the development of treatments for repair or replacement. The burgeoning field of tissue engineering holds promise that replacement tissues can be constructed in the laboratory to recapitulate the functional requirements of native tissues. This book outlines the biomechanical, biochemical, and anatomical characteristics of the disc and condylar cartilage, and also provides a historical perspective of past and current TMJ treatments and previous tissue engineering efforts. This book was written to serve as a reference for researchers seeking to learn about the TMJ, for undergraduate and graduate level courses, and as a compendium of TMJ tissue engineering design criteria. Table of Contents: The Temporomandibular Joint / Fibrocartilage of the TMJ Disc / Cartilage of the Mandibular Condyle / Tissue Engineering of the Disc / Tissue Engineering of the Mandibular Condyle / Current PerspectivesTable of ContentsThe Temporomandibular Joint.- Fibrocartilage of the TMJ Disc.- Cartilage of the Mandibular Condyle.- Tissue Engineering of the Disc.- Tissue Engineering of the Mandibular Condyle.- Current Perspectives.

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