An intelligent stimulator based on electromyography feature extraction / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 260-263, 2011.
Article
in Chinese
| WPRIM
| ID: wpr-306581
ABSTRACT
In order to improve the conventional stimulator with non-standard parameters and poor efficacy using the passive mode of the treatment, we developed an intelligent stimulator to combine biofeedback with functional electrical stimulation. Through the non-invasive measurement and feature extraction of electromyography signals, a value of root mean square can be obtained based on delta-sigma computational technique. In the newly designed stimulator, electromyography feature extraction and feedback control were used to intelligently control the rehabilitation treatment. Both bidirectional detection technologies for stimulated current and programmable interactive way using touchscreen were employed so that the treatment parameters can be accurately quantified and set up. The experiment showed that the design requirements were achieved.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Signal Processing, Computer-Assisted
/
Artificial Intelligence
/
Electric Stimulation Therapy
/
Electromyography
/
Stroke Rehabilitation
/
Methods
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2011
Type:
Article
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