Title :
Two-channel enhancement of a multifunction control system
Author :
Kuruganti, Usha ; Hudgins, B. ; Scott, R.N.
Author_Institution :
Inst. of Biomed. Eng., New Brunswick Univ., Fredericton, NB, Canada
Abstract :
The enhancement of an existing myoelectric control system has been investigated. The original one-channel system used an artificial neural network to classify myoelectric patterns. This research shows that a two-channel control system can improve the classification accuracy of the pattern classifier significantly, thus improving the reliability of the prosthesis.
Keywords :
artificial limbs; biocontrol; electromyography; 1-channel system; 2-channel enhancement; classification accuracy; multifunction control system; myoelectric control system enhancement; pattern classifier; prosthesis reliability; Artificial neural networks; Biomedical engineering; Control systems; Data analysis; Electrodes; Muscles; Neural networks; Neural prosthesis; Prosthetic limbs; Signal design; Adult; Artificial Limbs; Bionics; Electrodes; Feedback; Female; Humans; Male; Muscle Contraction; Neural Networks (Computer); Prosthesis Design; Reproducibility of Results; Signal Processing, Computer-Assisted;
Journal_Title :
Biomedical Engineering, IEEE Transactions on