Computational Intelligence in Electromyography Analysis : A Perspective on Current Applications and Future Challenges
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 c...
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| Format: | Book Chapter |
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IntechOpen
2012
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| Online Access: | Get Fullteks DOAB: description of the publication |
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| Summary: | 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. |
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| Physical Description: | 1 electronic resource (462 p.) |
| ISBN: | 3315 9789535108054 9789535170334 |
| Access: | Open Access |