Table of Contents

Table of Contents
Preface................................................................................................................................................... xv
Section 1
EMG Basics and Motor Unit Action Potentials
Chapter 1
Neural Control of Muscle........................................................................................................................ 1
Parveen Bawa, Simon Fraser University, Canada
Kelvin E. Jones, University of Alberta, Canada
Chapter 2
New Advances in Single Fiber Electromyography................................................................................ 28
Javier Rodriguez-Falces, Public University of Navarra, Spain
Chapter 3
Detection and Conditioning of EMG..................................................................................................... 58
İmran Göker, Istanbul Arel University, Turkey
Chapter 4
An Introduction to EMG Signal Processing Using MatLab and Microsoft Excel................................. 95
Daniel Robbins, University of Bedfordshire, UK
Section 2
EMG Signal Modeling and Signal Processing
Chapter 5
Modeling the Human Elbow Joint Dynamics from Surface Electromyography................................. 114
Andrés Felipe Ruiz-Olaya, Antonio Nariño University, Colombia
Chapter 6
Arm Swing during Human Gait Studied by EMG of Upper Limb Muscles....................................... 129
Johann P. Kuhtz-Buschbeck, Christian-Albrechts-University Kiel, Germany
Antonia Frendel, Christian-Albrechts-University Kiel, Germany
Bo Jing, Christian-Albrechts-University Kiel, Germany
Chapter 7
Using in Vivo Subject-Specific Musculotendon Parameters to Investigate Voluntary Movement
Changes after Stroke: An EMG-Driven Model of Elbow Joint........................................................... 161
Hujing Hu, First Affiliated Hospital, Sun Yat-sen University, China & Guangdong Provincial
Work Injury Rehabilitation Center, China
Le Li, First Affiliated Hospital, Sun Yat-sen University, China
Chapter 8
Study and Interpretation of Neuromuscular Patterns in Golf.............................................................. 181
Sérgio Marta, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa,
Portugal
João Rocha Vaz, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa,
Portugal
Luís Silva, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Portugal
Maria António Castro, Coimbra Health School, Instituto Politécnico de Coimbra, Portugal
& Mechanical Engineering Research Center, University of Coimbra, Portugal
Pedro Pezarat Correia, CIPER, Faculdade de Motricidade Humana, Universidade de
Lisboa, Portugal
Section 3
EMG: Endurance, Stability, and Muscle Activities
Chapter 9
Assessing Joint Stability from Eigenvalues Obtained from Multi-Channel EMG: A Spine Example.203
Dianne M. Ikeda, University of Waterloo, Canada
Stuart M. McGill, University of Waterloo, Canada
Chapter 10
Endurance Time Prediction using Electromyography......................................................................... 219
Sébastien Boyas, Université du Maine, France
Arnaud Guével, Université de Nantes, France
Chapter 11
EMG Activation Pattern during Voluntary Bending and Donning Safety Shoes................................ 234
P. K. Nag, National Institute of Occupational Health, India
Varsha Chorsiya, National Institute of Occupational Health, India
Anjali Nag, National Institute of Occupational Health, India
Chapter 12
Tongue Movement Estimation Based on Suprahyoid Muscle Activity............................................... 257
Makoto Sasaki, Iwate University, Japan
Section 4
EMG for Prosthetic and HCI Applications
Chapter 13
Design of Myocontrolled Neuroprosthesis: Tricks and Pitfalls........................................................... 275
Emilia Ambrosini, Politecnico di Milano, Italy
Simona Ferrante, Politecnico di Milano, Italy
Alessandro Pedrocchi, Politecnico di Milano, Italy
Chapter 14
Design and Development of EMG Conditioning System and Hand Gesture Recognition Based on
Principal Component Analysis Feature Reduction Technique............................................................ 304
P. Geethanjali, VIT University, India
Chapter 15
The Relationship between Anthropometric Variables and Features of Electromyography Signal
for Human–Computer Interface........................................................................................................... 321
Angkoon Phinyomark, University Joseph Fourier, France & University of Grenoble, France
Franck Quaine, University Joseph Fourier, France
Yann Laurillau, University of Grenoble, France
Compilation of References................................................................................................................ 354
About the Contributors..................................................................................................................... 396
Index.................................................................................................................................................... 402