Applications, Challenges, and Advancements in Electromyography Signal Processing

Nonfiction, Science & Nature, Technology, Engineering, Computers, General Computing
Cover of the book Applications, Challenges, and Advancements in Electromyography Signal Processing by , IGI Global
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Author: ISBN: 9781466660922
Publisher: IGI Global Publication: May 31, 2014
Imprint: Medical Information Science Reference Language: English
Author:
ISBN: 9781466660922
Publisher: IGI Global
Publication: May 31, 2014
Imprint: Medical Information Science Reference
Language: English

Electromyography (EMG) is a procedure for assessing and recording the electrical activity produced by skeletal muscles. Since the contracting skeletal muscles are greatly responsible for loading the bones and joints, information about the muscle EMG is important to gain knowledge about muscular-skeletal biomechanics. Applications, Challenges, and Advancements in Electromyography Signal Processing provides an updated overview of signal processing applications and recent developments in EMG from a number of diverse aspects and various applications in clinical and experimental research. Presenting new results, concepts, and further developments in the field of EMG signal processing, this publication is an ideal resource for graduate and post-graduate students, academicians, engineers, and scientists in the fields of signal processing and biomedical engineering.

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Electromyography (EMG) is a procedure for assessing and recording the electrical activity produced by skeletal muscles. Since the contracting skeletal muscles are greatly responsible for loading the bones and joints, information about the muscle EMG is important to gain knowledge about muscular-skeletal biomechanics. Applications, Challenges, and Advancements in Electromyography Signal Processing provides an updated overview of signal processing applications and recent developments in EMG from a number of diverse aspects and various applications in clinical and experimental research. Presenting new results, concepts, and further developments in the field of EMG signal processing, this publication is an ideal resource for graduate and post-graduate students, academicians, engineers, and scientists in the fields of signal processing and biomedical engineering.

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