Surface Electromyography Physiology, Engineering, and Applications
-
- Englisch ausgewählt
189,99 €
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
02.05.2016
Herausgeber
Roberto Merletti + weitereVerlag
John Wiley & Sons IncSeitenzahl
592
Maße (L/B/H)
24,1/16,1/3,5 cm
Gewicht
1143 g
Sprache
Englisch
ISBN
978-1-118-98702-5
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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