Computational Intelligence in Electromyography Analysis

This book PDF is perfect for those who love Medical genre, written by Ganesh R. Naik and published by BoD – Books on Demand which was released on 17 October 2012 with total hardcover pages 464. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Computational Intelligence in Electromyography Analysis books below.

Computational Intelligence in Electromyography Analysis
Computational Intelligence in Electromyography Analysis
Author : Ganesh R. Naik
File Size : 48,7 Mb
Publisher : BoD – Books on Demand
Language : English
Release Date : 17 October 2012
ISBN : 9789535108054
Pages : 464 pages
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Computational Intelligence in Electromyography Analysis by Ganesh R. Naik Book PDF 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.

Computational Intelligence in Electromyography Analysis

Computational Intelligence in Electromyography Analysis by Ganesh R. Naik

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

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Computational Intelligence in Biomedical Engineering

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Handbook of Computational Intelligence in Biomedical Engineering and Healthcare

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Surface Electromyography

Surface Electromyography by Roberto Merletti,Dario Farina

Reflects on developments in noninvasive electromyography, and includes advances and applications in signal detection, processing and interpretation Addresses EMG imaging technology together with the issue of decomposition of surface EMG Includes advanced single and multi-channel techniques for information extraction from surface EMG signals Presents the analysis and information extraction of

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