Surface Electromyography Signal Processing and Classification Techniques

Surface Electromyography Signal Processing and Classification Techniques

Electromyography (EMG) signals are becoming increasingly important in many applications, including clinical/biomedical, prosthesis or rehabilitation devices, human machine interactions, and more. However, noisy EMG signals are the major hurdles to be overcome in order to achieve improved performance...

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Bibliographic Details
Main Authors: Tae G. Chang, Kalaivani Chellappan, Ashrif A. A. Bakar, Mamun B. I. Reaz, Mohd Alauddin Bin Mohd Ali, Rubana H. Chowdhury
Format: Article
Language:English
Published: MDPI AG 2013-09-01
Series:Sensors
Subjects:
electromyography
noise source
wavelet
EMD
ICA
artificial neural network
HOS
Online Access:http://www.mdpi.com/1424-8220/13/9/12431

Internet

http://www.mdpi.com/1424-8220/13/9/12431

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