Title :
Adaptive filtering of the electromyographic signal for prosthetic control and force estimation
Author :
Park, Euljoon ; Meek, Sanford G.
Author_Institution :
Pacesetter Inc., Sylmar, CA, USA
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.
Keywords :
adaptive filters; artificial limbs; biocontrol; biomechanics; electromyography; force measurement; medical signal processing; adaptive time constant filter; electromyographic signal adaptive filtering; estimation error; filter response; filter time constant variation; mean-squared estimation error; prosthetic control; prosthetic force estimation; Adaptive control; Adaptive filters; Adaptive signal processing; Electromyography; Estimation error; Force control; Process control; Programmable control; Prosthetics; Signal analysis; Algorithms; Arm; Artificial Limbs; Electromyography; Equipment Design; Humans; Muscle Contraction; Time Factors;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
