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

Research output: Contribution to journalReview Articlepeer-review

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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.
Original languageEnglish
Pages (from-to)334-359
JournalBIOMEDICAL SIGNAL PROCESSING AND CONTROL
Volume18
DOIs
Publication statusPublished - 2015
MoE publication typeA2 Review article in a scientific journal

Keywords

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

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