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

Volume

42

Issue

10

fYear

1995

Firstpage

1048

Lastpage

1052

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;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/10.464381

Filename

464381