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Essentials of Electromyography

Essentials of Electromyography

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For students and new practitioners who use electromyography (EMG), including exercise scientists, physical and occupational therapists, and motor development specialists, this volume details the characteristics of the instrumentation (treated from a mathematical perspective), signal analysis techniques, and applications for biofeedback, back pain, sport activities, muscle fatigue, gait analysis, and other uses. Kamen (kinesiology, U. of Massachusetts, Amherst) and Gabriel (physical education and kinesiology, Brock U., Canada) cover the anatomy and physiology of muscle, bioelectricity and biophysical principles, EMG tools, and force-fatigue relations, with many diagrams of electrical circuits and the progression of electrical impulses. Advanced topics and derivations are discussed in appendices. Some knowledge of calculus is required. Annotation c2010 Book News, Inc., Portland, OR (booknews.com)

作者簡介

Gary Kamen, PhD, is a professor in the department of kinesiology at the University of Massachusetts at Amherst. He has 30 years of experience in the field of kinesiology, including research in basic electromyography, neuromuscular physiology, motor control, exercise neuroscience, motor unit physiology, and numerous electromyographic applications. Through research studies, he has demonstrated the importance of motor unit firing rate for maximal force production in older adults, thus proving the importance of neural activation for muscular strength.

Kamen has published over 75 articles in the field of electromyography, motor unit recording techniques, motor control, and other concepts related to this book. He also published one of the first texts in exercise science. He is a fellow of both the American College of Sports Medicine and the American Association for Kinesiology and Physical Education, as well as a member of several organizations, including the Society for Neuroscience, the International Society for Electrophysiology and Kinesiology, and the International Society of Biomechanics.

David A. Gabriel, PhD, is a professor in the department of physical education and kinesiology at Brock University in St. Catharines, Ontario. He has 20 years of experience conducting research related to kinesiology, rehabilitation, and clinical neurophysiology. This includes surface and indwelling electromyographic techniques as well as computer modeling and simulation of the EMG signal. From this research he has been able to solve difficult problems in EMG data collection, reduction, analysis, and interpretation.

Gabriel published a series of papers on a novel signal processing method for documenting subtle changes in the surface EMG signal and how those changes can be related to motor unit firing patterns. He is also widely published in other areas, including reliability of the surface EMG signal for both kinesiological and clinical studies and modeling and simulation of the surface of the EMG signal.

Gabriel is associate editor for the Journal of NeuroEngineering and Rehabilitation, an editorial board member for the Journal of Electromyography and Kinesiology, vice president and president-elect of the International Society for Electrophysiology and Kinesiology, a fellow of the American College of Sports Medicine, and a member of the Institute of Electrical and Electronics Engineers.

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