Current state of digital signal processing in myoelectric interfaces and related applications
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© 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license http://creativecommons.org/licenses/by-nc-nd/4.0/
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School of Electrical Engineering |
A2 Katsausartikkeli tieteellisessä aikakauslehdessä
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Date
2015
Major/Subject
Mcode
Degree programme
Language
en
Pages
334-359
Series
Biomedical Signal Processing and Control, Volume 18
Abstract
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.Description
Keywords
Surface electromyography, Myoelectric interface, Classification, Feature extraction, Pattern recognition
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Citation
Hakonen, Maria & Piitulainen, Harri & Visala, Arto. 2015. Current state of digital signal processing in myoelectric interfaces and related applications. Biomedical Signal Processing and Control. P. 334-359. 1746-8094 (printed). DOI: 10.1016/j.bspc.2015.02.009