Description
Book SynopsisSection I provides a brief intro duction to the terminology and conceptual foundations of the field of move ment science; All but two of the re maining nine sections share a common format: (l) a designated section editor; Section VI is the largest section, and it con sists of nine perspective chapters without commentaries.
Table of ContentsSection I.- 1 Terminology and Foundations of Movement Science.- Section II.- 2 Neural and Muscular Properties: Current Views and Controversies.- 3 Intraoperative Sarcomere Length Measurements Reveal Musculoskeletal Design Principles.- Commentary Wendy M. Murray and Scott L. Delp.- 4 Comparison of Effective Synaptic Currents Generated in Spinal Motoneurons by Activating Different Input Systems.- Commentary: Nonlinear Interactions Between Multiple Synaptic Inputs Thomas M. Hamm and Mitchell G. Maltenfort.- 5 Length, Shortening Velocity, Activation, and Fatigue Are Not Independent Factors Determining Muscle Force Exerted.- Commentary: What Is the Use of Models That Are Not Even True? Steve L. Lehman.- 6 Modeling of Homogeneous Muscle: Is It Realistic to Consider Skeletal Muscle as a Lumped Sarcomere or Fiber?.- Commentary: The Role of Distributed Properties in Muscle Mechanics Michael P. Slawnych.- 7 Subtle Nonlinear Neuromuscular Properties Are Consistent with Teleological Design Principles.- Commentary: Analysis of Nonlinear Neuromuscular Properties—Teleology or Ideology? Robert E. Kearney and Michael P. Slawnych.- Commentary: Remarks Regarding the Paradigm of Study of Locomotor Apparatus and Neuromuscular Control of Movement Peter A. Huijing.- Section III.- 8 Creating Neuromusculoskeletal Models.- 9 System Identification and Neuromuscular Modeling.- 10 A Reductionist Approach to Creating and Using Neuromusculoskeletal Models.- 11 Musculoskeletal Systems with Intrinsic and Proprioceptive Feedback.- Section IV.- 12 Neuromechanical Interaction in Cyclic Movements.- 13 Musculoskeletal Dynamics in Rhythmic Systems: A Comparative Approach to Legged Locomotion.- Commentary: Cyclic Movements and Adaptive Tissues Jack M. Winters.- 14 Biomechanics of Hydroskeletons: Studies of Crawling in the Medicinal Leech.- Commentary: Biomechanical Studies Clarify Pattern Generator Circuits Hillel J. Chiel and Randall D. Beer.- 15 Simulation of the Spinal Circuits Controlling Swimming Movements in Fish.- Commentary: Computer-Simulated Models Complement Experimental Investigations of Neuromotor Control in a Simple Vertebrate Ranu Jung.- 16 A Simple Neural Network for the Control of a Six-Legged Walking System.- Commentary: Are Decentralized or Central Control Systems Implied in the Locomotion? Marc Jamon and François Clarac.- Commentary: Neural Control and Biomechanics in the Locomotion of Insects and Robots Randall D. Beer and Hillel J. Chiel.- 17 Neuromechanical Function of Reflexes During Locomotion.- Commentary: What Is a Reflex? Gerald E. Loeb.- 18 Fractal Analysis of Human Walking Rhythm.- Commentary: The Fractal Nature of the Locomotor Rhythm May Be Due to Interactions Between the Brain and the Spinal Pattern Generator Ranu Jung.- Section V.- 19 Postural Adaptation for Altered Environments, Tasks, and Intentions.- 20 Altered Astronaut Performance Following Spaceflight: Control and Modeling Insights.- Commentary: Altered Astronaut Performance Following Spaceflight—Control and Modeling Insights Guido Baroni, Giancarlo Ferrigno and Antonio Pedotti.- 21 Adaptive Sensory-Motor Processes Disturb Balance Control After Spaceflight.- Commentary: Adaptive Sensory-Motor Processes Disturb Balance Control After Spaceflight Robert J. Peterka.- 22 Neuromuscular Control Strategies in Postural Coordination.- Commentary: Neuromuscular Control Strategies in Postural Coordination David A. Winter.- Section VI.- Introduction: Neural and Mechanical Contributions to Upper Limb Movement.- 23 Maps, Modules, and Internal Models in Human Motor Control.- 24 How Much Coordination Can Be Obtained Without Representing Time?.- 25 Augmenting Postural Primitives in Spinal Cord: Dynamic Force-Field Structures Used in Trajectory Generation.- 26 Learning and Memory Formation of Arm Movements.- 27 What Do We Plan or Control When We Perform a Voluntary Movement?.- 28 Simulation of Multijoint Arm Movements.- 29 Planning of Human Motions: How Simple Must It Be?.- 30 Biomechanics of Manipulation: Grasping the Task at Hand.- 31 A Principle of Control of Rapid Multijoint Movements.- Section VII.- 32 Large-Scale Musculoskeletal Systems: Sensorimotor Integration and Optimization.- 33 Progression of Musculoskeletal Models Toward Large-Scale Cybernetic Myoskeletal Models.- Commentary: Does Progression of Musculoskeletal Models Toward Large-Scale Cybernetic Models Yield Progress Toward Understanding of Muscle and Human or Animal Movement? Peter A. Huijing.- 34 Estimation of Movement from Surface EMG Signals Using a Neural Network Model.- Commentary: What Can We Learn from Artificial Neural Networks About Human Motor Control? A.J. (Knoek) van Soest.- Commentary: What’s the Use of Black Box Musculoskeletal Models? Sybert Stroeve.- 35 Study Movement Selection and Synergies via a Synthesized Neuro-Optimization Framework.- Commentary: Can Neural Networks Teach Us the Way We Learn? Frans C.T. van der Helm.- 36 Clinical Applications of Musculoskeletal Models in Orthopedics and Rehabilitation.- Commentary: Comments on Clinical Applications of Musculoskeletal Models in Orthopedics and Rehabilitation Andy Ruina.- Section VIII.- 37 Human Performance and Rehabilitation Technologies.- 38 Rehabilitators, Robots, and Guides: New Tools for Neurological Rehabilitation.- Commentary: Rehabilitators, Robots, and Guides Dava J. Newman.- 39 Nonanalytical Control for Assisting Reaching in Humans with Disabilities.- Commentary: A Case for Soft Neurofuzzy Controller Interfaces for Humans with Disabilities Jack M. Winters.- 40 Soft Computing Techniques for Evaluation and Control of Human Performance.- Commentary: Soft Computing Techniques for Evaluation and Control of Human Performance Rajko Tomovic.- 41 From Idea to Product.- Commentary: From Idea to Product Gerald E. Loeb.- Section IX.- 42 Movement Synthesis and Regulation in Neuroprostheses.- 43 Properties of Artificially Stimulated Muscles: Simulation and Experiments.- Commentary: One Muscle Model for All Applications? Peter H. Veltink.- 44 Synthesis of Hand Grasp.- 45 Control with Natural Sensors.- Commentary: Control with Natural Sensors? Dejan Popovic.- 46 Control of Rhythmic Movements Using FNS.- Commentary Peter H. Veltink.- Section X.- Appendix 1 Morphological Data for the Development of Musculoskeletal Models: An Update Frans C.T. van der Helm and Gary T. Yamaguchi.- Appendix 2 Move3d Software Tom M. Kepple and Steven J. Stanhope.- Appendix 3 Simulation of an Antagonistic Muscle Model in Matlab Bart L. Kaptein, Guido G. Brouwn and Frans C.T. van der Helm.- Appendix 4 SPACAR: A Finite-Element Software Package for Musculoskeletal Modeling Frans C.T van der Helm.- Appendix 5 DataMonster E. Otten.
