Abstract
A myoelectric signal, or electromyogram (EMG), is the electrical manifestation of a muscle contraction. Through advanced signal processing techniques, information on the neural control of muscles can be extracted from the EMG, and the state of the neuromuscular system can be inferred. Because of its easy accessibility and relatively high signal-to-noise ratio, EMG has been applied as a control signal in several neurorehabilitation devices and applications, such as multi-function prostheses and orthoses, rehabilitation robots, and functional electrical stimulation/therapy. These EMG-based neurorehabilitation modules, which constitute muscle-machine interfaces, are applied for replacement, restoration, or modulation of lost or impaired function in research and clinical settings. The purpose of this review is to discuss the assumptions of EMG-based control and its applications in neurorehabilitation.
| Original language | English |
|---|---|
| Pages (from-to) | 381-91 |
| Number of pages | 11 |
| Journal | Critical reviews in biomedical engineering |
| Volume | 38 |
| Issue number | 4 |
| Publication status | Published - 2010 |
Keywords
- Biofeedback, Psychology
- Electromyography
- Humans
- Nervous System Diseases
- Rehabilitation
- Therapy, Computer-Assisted
- Journal Article
- Research Support, Non-U.S. Gov't
- Review