4.6 Review

Current state of digital signal processing in myoelectric interfaces and related applications

期刊

BIOMEDICAL SIGNAL PROCESSING AND CONTROL
卷 18, 期 -, 页码 334-359

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.bspc.2015.02.009

关键词

Surface electromyography; Myoelectric interface; Classification; Feature extraction; Pattern recognition

资金

  1. Foundation for Aalto University Science and Technology
  2. Academy of Finland [13266133]
  3. Tekes - the Finnish Funding Agency for Technology and Innovation [1104/10]

向作者/读者索取更多资源

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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