w A Comprehensive Study on EMG Feature Extraction and Classifiers
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ISSN: 2637-4579

Open Access Journal of Biomedical Engineering and Biosciences

Research Article(ISSN: 2637-4579)

A Comprehensive Study on EMG Feature Extraction and Classifiers

Volume 1 - Issue 1

Christopher Spiewak*, MdRasedul Islam, Md Assad-Uz Zaman and Mohammad Habibur Rahman

  • Author Information Open or Close
    • Mechanical Engineering Department, University of Wisconsin-Milwaukee, USA

    *Corresponding author: Christopher Spiewak, Milwaukee, Mechanical Engineering Department, University of Wisconsin-Milwaukee, USA

Received: January 25, 2018;   Published: February 07, 2018

DOI: 10.32474/OAJBEB.2018.01.000104

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Abstract

In the past few years the utilization of biological signals as a method of interface with a robotic device has become increasingly more prominent. With the many of these systems being based on EEG and EMG.EMG based control has five main parts data acquisition, signal conditioning, feature extraction, classification, and control. This paper seeks to briefly cover the aspects of data acquisition and signal conditioning. After which, various methods of feature extraction, and classification are discussed.

Abstract| Introduction| Data Acquisition| Signal Conditioning| Feature Extraction| Classification| Discussion| References|

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