Adaptive filtering of the electromyographic signal for prosthetic control and force estimation.
basic_science · Level V
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Abstract
An adaptive time constant filter is derived for electromyographic (EMG) signal processing in prosthetic control applications. The analysis indicates that the mean-squared estimation error can be reduced by varying the time constant of the filter as a function of the signal and its derivative. Results of several experiments indicated this filter provides faster response and smaller estimation error than several previously available filters.
Medical subject headings
- Artificial Limbs
- Electromyography