Surface Electromyography. Physiology, Engineering and Applications. IEEE Press Series on Biomedical Engineering

  • ID: 3610169
  • Book
  • 592 Pages
  • John Wiley and Sons Ltd
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Reflects on developments in noninvasive electromyography, and includes advances and applications in signal detection, processing, and interpretation 

The book presents a quantitative approach to the study and use of noninvasively detected electromyographic (EMG) signals, as well as their numerous applications in various aspects of the life sciences. Surface Electromyography: Physiology, Engineering, and Applications is an update of Electromyography: Physiology, Engineering, and Noninvasive Applications (Wiley–IEEE Press, 2004) and focuses on the developments that have taken place over the last decade. The first nine chapters deal with the generation, detection, understanding, interpretation, and modeling of EMG signals. Detection technology, with particular focus on EMG imaging techniques that are based on two–dimensional electrode arrays are also included in the first half of the book. The latter 11 chapters deal with applications, which range from monitoring muscle fatigue, electrically elicited contractions, posture analysis, prevention of work–related and child–delivery–related neuromuscular disorders, ergonomics, movement analysis, physical therapy, exercise physiology, and prosthesis control. 

  • Addresses EMG imaging technology together with the issue of decomposition of surface EMG
  • Includes advanced single and multi–channel techniques for information extraction from surface EMG signals
  • Presents the analysis and information extraction of surface EMG at various scales, from motor units to the concept of muscle synergies.

The book is aimed primarily to biomedical engineers, rehabilitation physicians, and movement scientists. However, it may be appreciated by neurophysiologists, and physical and occupational therapists with a background in physics, engineering, and signal processing.

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1 Physiology of Muscle Activation and Force Generation 1R. M. Enoka and J. Duchateau

2 Biophysics of the Generation of EMG Signals 30D. Farina, D. F. Stegeman, and R. Merletti

3 Detection and Conditioning of Surface EMG Signals 54R. Merletti, A. Botter, and U. Barone

4 Single–Channel Techniques for Information Extraction from the Surface EMG Signal 91E. A. Clancy, F. Negro, and D. Farina

5 Techniques for Information Extraction from the Surface EMG Signal: High–Density Surface EMG 126R. Merletti, T. M. Vieira, and D. Farina

6 Muscle Coordination, Motor Synergies, and Primitives from Surface EMG 158Y. P. Ivanenko, A. D′avella, and F. Lacquaniti

7 Surface EMG Decomposition  180A. Holobar, D. Farina, and D. Zazula

8 EMG Modeling and Simulation 210M. M. Lowery

9 Electromyography–Driven Modeling for Simulating Subject–Specific Movement at the Neuromusculoskeletal Level 247M. Sartori, D. G. Lloyd, T. F. Besier, J. W. Fernandez, and D. Farina

10 Muscle Force and Myoelectric Manifestations of Muscle Fatigue in Voluntary and Electrically Elicited Contractions 273R. Merletti, B. Afsharipour, J. Dideriksen, and D. Farina

11 EMG of Electrically Stimulated Muscles 311A. Botter and R. Merletti

12 Surface EMG Applications in Neurophysiology 333S. Baudry, M. A. Minetto, and J. Duchateau

13 Surface EMG in Ergonomics and Occupational Medicine 361M. Gazzoni, B. Afsharipour, and R.Merletti

14 Applications in Proctology and Obstetrics 392R. Merletti

15 EMG and Posture in Its Narrowest Sense 408T. M. Vieira, D. Farina, and I. D. Loram

16 Applications in Movement and Gait Analysis 440A. Merlo and I. Campanini

17 Applications in Musculoskeletal Physical Therapy 460D. Falla

18 Surface EMG Biofeedback 485A. Gallina, M. Gazzoni, D. Falla, and R. Merletti

19 EMG in Exercise Physiology and Sports 501A. Rainoldi, T. Moritani, and G. Boccia

20 Surface Electromyography for Man Machine Interfacing in Rehabilitation Technologies 540D. Farina and M. Sartori

Index 561

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Roberto Merletti
Dario Farina
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