Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
558319 | Biomedical Signal Processing and Control | 2007 | 20 Pages |
Abstract
The development of an advanced human–machine interface has always been an interesting research topic in the field of rehabilitation, in which biomedical signals, such as myoelectric signals, have a key role to play. Myoelectric control is an advanced technique concerned with the detection, processing, classification, and application of myoelectric signals to control human-assisting robots or rehabilitation devices. This paper reviews recent research and development in pattern recognition- and non-pattern recognition-based myoelectric control, and presents state-of-the-art achievements in terms of their type, structure, and potential application. Directions for future research are also briefly outlined.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Mohammadreza Asghari Oskoei, Huosheng Hu,