Applications, challenges, and advancements in electromyography signal processing

Ganesh R. Naik

doi:10.4018/978-1-4666-6090-8

Applications, challenges, and advancements in electromyography signal processing

Ganesh R. Naik (Editor)

Research output: Book/Report › Anthology › peer-review

5 Citations (Scopus)

Abstract

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.

Original language	English
Publisher	IGI Global
Number of pages	404
ISBN (Electronic)	9781466660915
ISBN (Print)	1466660902, 9781466660908
DOIs	https://doi.org/10.4018/978-1-4666-6090-8
Publication status	Published - 2014
Externally published	Yes

Keywords

Electromyography (EMG)
Electromyography Signal Processing
muscular-skeletal biomechanics
clinical and experimental research
biomedical engineering

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10.4018/978-1-4666-6090-8Licence: In Copyright

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AB - 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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KW - Electromyography Signal Processing

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ER -

Applications, challenges, and advancements in electromyography signal processing

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Keywords

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