title: Adaptive filtering of the electromyographic signal for prosthetic control and force estimation.
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.
authors.affiliation: Pacesetter, Inc., Sylmar, CA 91392-9221, USA.
authors.forename: E
authors.initials: E
authors.lastname: Park
authors.forename: S G
authors.initials: SG
authors.lastname: Meek
mesh_terms: D000465:Algorithms; D001132:Arm; D001186:Artificial Limbs / Q000295:instrumentation* / Q000706:statistics & numerical data; D004576:Electromyography / Q000295:instrumentation* / Q000379:methods / Q000706:statistics & numerical data; D004867:Equipment Design; D006801:Humans; D009119:Muscle Contraction; D013997:Time Factors