Journal
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
Volume 18, Issue -, Pages 334-359Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.bspc.2015.02.009
Keywords
Surface electromyography; Myoelectric interface; Classification; Feature extraction; Pattern recognition
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Funding
- Foundation for Aalto University Science and Technology
- Academy of Finland [13266133]
- Tekes - the Finnish Funding Agency for Technology and Innovation [1104/10]
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This review discusses the critical issues and recommended practices from the perspective of myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are evaluated. The article aims to fill gaps left by previous reviews and identify avenues for future research. Recommendations are given, for example, for electrode placement, sampling rate, segmentation, and classifiers. Four groups of applications where myoelectric interfaces have been adopted are identified: assistive technology, rehabilitation technology, input devices, and silent speech interfaces. The state-of-the-art applications in each of these groups are presented. (C) 2015 The Authors. Published by Elsevier Ltd.
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