Fuzzy EMG classification for prosthesis control

Proposes a fuzzy approach to classify single-site electromyograph (EMG) signals for multifunctional prosthesis control. While the classification problem is the focus of this paper, the ultimate goal is to improve myoelectric system control performance, and classification is an essential step in the...

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Bibliographic Details
Published in:	IEEE transactions on rehabilitation engineering Vol. 8; no. 3; pp. 305 - 311
Main Authors:	Chan, F.H.Y., Yong-Sheng Yang, Lam, F.K., Yuan-Ting Zhang, Parker, P.A.
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.09.2000
Subjects:	Algorithms Artificial Limbs Artificial neural networks Backpropagation Bias Cluster Analysis Clustering algorithms Control systems Delay Electric Stimulation Therapy - methods Electromyography Electromyography - classification Electromyography - methods Electrophysiology Feedback Fuzzy control Fuzzy Logic Fuzzy systems Humans Neural networks Neural Networks (Computer) Pattern recognition Prosthetics Signal Processing, Computer-Assisted Software Validation Time Factors
ISSN:	1063-6528
Online Access:	Get full text
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