Read Computational Intelligence in Electromyography Analysis: A Perspective on Current Applications and Future Challenges

Computational Intelligence in Electromyography Analysis: A Perspective on Current Applications and Future Challenges

Ganesh R Naik

4.9/5 (28416 ratings)

Description:Electromyography (EMG) is a technique for evaluating and recording the electrical activity produced by skeletal muscles. EMG may be used clinically for the diagnosis of neuromuscular problems and for assessing biomechanical and motor control deficits and other functional disorders. Furthermore, it can be used as a control signal for interfacing with orthotic and/or prosthetic devices or other rehabilitation assists. This book presents 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. It will provide readers with a detailed introduction to EMG signal processing techniques and applications, while presenting several new results and explanation of existing algorithms. This book is organized into 18 chapters, covering the current theoretical and practical approaches of EMG research.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Computational Intelligence in Electromyography Analysis: A Perspective on Current Applications and Future Challenges. To get started finding Computational Intelligence in Electromyography Analysis: A Perspective on Current Applications and Future Challenges, you are right to find our website which has a comprehensive collection of manuals listed.
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Pages: 464

Format: PDF, EPUB & Kindle Edition

Publisher: Intechopen

Release: 2012

ISBN: 9535108050

Description: Electromyography (EMG) is a technique for evaluating and recording the electrical activity produced by skeletal muscles. EMG may be used clinically for the diagnosis of neuromuscular problems and for assessing biomechanical and motor control deficits and other functional disorders. Furthermore, it can be used as a control signal for interfacing with orthotic and/or prosthetic devices or other rehabilitation assists. This book presents 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. It will provide readers with a detailed introduction to EMG signal processing techniques and applications, while presenting several new results and explanation of existing algorithms. This book is organized into 18 chapters, covering the current theoretical and practical approaches of EMG research.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Computational Intelligence in Electromyography Analysis: A Perspective on Current Applications and Future Challenges. To get started finding Computational Intelligence in Electromyography Analysis: A Perspective on Current Applications and Future Challenges, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Computational Intelligence in Electromyography Analysis: A Perspective on Current Applications and Future Challenges

Computational Intelligence in Electromyography Analysis: A Perspective on Current Applications and Future Challenges

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