Computational Intelligence in Electromyography Analysis
eBook - PDF

Computational Intelligence in Electromyography Analysis

A Perspective on Current Applications and Future Challenges

  1. 462 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Computational Intelligence in Electromyography Analysis

A Perspective on Current Applications and Future Challenges

About this book

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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Yes, you can access Computational Intelligence in Electromyography Analysis by Ganesh R. Naik in PDF and/or ePUB format, as well as other popular books in Medicine & Internal Medicine & Diagnosis. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Computational Intelligence in Electromyography Analysis - A Perspective on Current Applications and Future Challenges
  2. Contents
  3. Preface
  4. Section 1 EMG Modelling
  5. Section 2 EMG Analysis and Applications
  6. Section 3 EMG Applications: Hand Gestures and Prosthetics