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Applications, Challenges, and Advancements in Electromyography Signal Processing

Applications, Challenges, and Advancements in Electromyography Signal Processing

Ganesh R. Naik
Copyright: © 2014 |Pages: 404
ISBN13: 9781466660908|ISBN10: 1466660902|EISBN13: 9781466660915
DOI: 10.4018/978-1-4666-6090-8
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MLA

Naik, Ganesh R., editor. Applications, Challenges, and Advancements in Electromyography Signal Processing. IGI Global, 2014. https://doi.org/10.4018/978-1-4666-6090-8

APA

Naik, G. R. (Ed.). (2014). Applications, Challenges, and Advancements in Electromyography Signal Processing. IGI Global. https://doi.org/10.4018/978-1-4666-6090-8

Chicago

Naik, Ganesh R., ed. Applications, Challenges, and Advancements in Electromyography Signal Processing. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-6090-8

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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.

Table of Contents

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Front Materials
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Title Page
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Copyright Page
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Advances in Medical Technologies and Clinical Practice (AMTCP) Book Series
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Editorial Advisory Board and List of Reviewers
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Preface
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Chapters
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EMG Basics and Motor Unit Action Potentials
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EMG Signal Modeling and Signal Processing
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EMG: Endurance, Stability, and Muscle Activities
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Chapter 4
EMG for Prosthetic and HCI Applications
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Back Materials
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Compilation of References
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About the Contributors
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Index
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