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

Maria Hakonen, Harri Piitulainen, Arto Visala

Biomedical Signal Processing and Control · 2015 · 302 citations · 233 references

DOIFull text

Open access

Concepts

TL;DR

The review highlights key issues and recommended practices in myoelectric interfaces. The article seeks to address gaps in prior reviews and chart future research directions for myoelectric interfaces. It outlines practical recommendations—such as electrode placement, sampling rate, segmentation, and classifier choice—and reviews state‑of‑the‑art applications across assistive technology, rehabilitation, input devices, and silent speech interfaces. The review evaluates the major benefits and challenges associated with myoelectric interfaces.

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.

References

233