Real time microcontroller implementation of an adaptive myoelectric filter.
This paper describes a real time digital adaptive filter for processing myoelectric signals. The filter time constant is automatically selected by the adaptation algorithm, giving a significant improvement over linear filters for estimating the muscle force and controlling a prosthetic device. Interference from mains sources often produces problems for myoelectric processing, and so 50 Hz and all harmonic frequencies are reduced by an averaging filter and differential process. This makes practical electrode placement and contact less critical and time consuming. An economic real time implementation is essential for a prosthetic controller, and this is achieved using an Intel 80C196KC microcontroller.
Bagwell
P J
PJ
Department of Electrical Engineering, University of Southampton, UK.
Chappell
P H
PH
D001186:Artificial Limbs; D001698:Biomedical Engineering; D055592:Biophysical Phenomena; D001703:Biophysics; D004576:Electromyography / Q000295:instrumentation / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D008838:Microcomputers; D009119:Muscle Contraction / Q000502:physiology*; D011474:Prosthesis Design; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation