Download the fantastic book titled Computational Intelligence in Electromyography Analysis written by Ganesh R. Naik, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Computational Intelligence in Electromyography Analysis", which was released on 17 October 2012. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Medical genre.
Summary of Computational Intelligence in Electromyography Analysis by Ganesh R. Naik PDF
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.
Detail About Computational Intelligence in Electromyography Analysis PDF
- Author : Ganesh R. Naik
- Publisher : BoD – Books on Demand
- Genre : Medical
- Total Pages : 464 pages
- ISBN : 9535108050
- Release Date : 17 October 2012
- PDF File Size : 33,5 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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