Journal
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
Volume 2, Issue 4, Pages 275-294Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.bspc.2007.07.009
Keywords
Myoelectric control; EMG-based control; Myoelectric signals; Feature extraction; Classification; Pattern recognition
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The development of an advanced human-machine interface has always been an interesting research topic in the field of rehabilitation, in which biomedical signals, such as myoelectric signals, have a key role to play. Myoelectric control is an advanced technique concerned with the detection, processing, classification, and application of myoelectric signals to control human-assisting robots or rehabilitation devices. This paper reviews recent research and development in pattern recognition- and non-pattern recognition-based myoelectric control, and presents state-of-the-art achievements in terms of their type, structure, and potential application. Directions for future research are also briefly outlined. (C) 2007 Elsevier Ltd. All rights reserved.
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