A Comprehensive Study on EMG Feature Extraction and Classifiers by Christopher Spiewak, MD Rasedul Islam, Md Assad-Uz Zaman and Mohammad Habibur Rahman in Open Access Journal of Biomedical Engineering and Biosciences (OAJBEB) in Lupine Publishers
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.
For more information about the article https://www.lupinepublishers.com/biomedical-sciences-journal/fulltext/a-comprehensive-study-on-eMG-feature-extraction-and-classifiers.ID.000104.php
https://www.lupinepublishers.com/biomedical-sciences-journal/abstracts/a-comprehensive-study-on-eMG-feature-extraction-and-classifiers.ID.000104.php
https://www.lupinepublishers.com/biomedical-sciences-journal/pdf/OAJBEB.MS.ID.000104.pdf
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