A wavelet-based continuous classification scheme for multifunction myoelectric control

被引:466
作者
Englehart, K
Hudgins, B
Parker, PA
机构
[1] Univ New Brunswick, Dept Elect & Comp Engn, Fredericton, NB E3B 5A3, Canada
[2] Univ New Brunswick, Inst Biomed Engn, Fredericton, NB E3B 5A3, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
EMG; myoelectric; pattern recognition; principal components analysis; prosthesis; Wavelet; wavelet packet;
D O I
10.1109/10.914793
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
This work represents an ongoing investigation of dexterous and natural control of powered upper limbs using the myoelectric signal. When approached as a pattern recognition problem, the success of a myoelectric control scheme depends largely on the classification accuracy. A novel approach is described that demonstrates greater accuracy than in previous work. Fundamental to the success of this method is the use of a wavelet-based feature set, reduced in dimension by principal components analysis. Further, it is shown that four channels of myoelectric data greatly improve the classification accuracy, as compared to one or two channels. It is demonstrated that exceptionally accurate performance is possible using the steady-state myoelectric signal. Exploiting these successes, a robust online classifier is constructed, which produces class decisions on a continuous stream of data. Although in its preliminary stages of development, this scheme promises a more natural and efficient means of myoelectric control than one based on discrete, transient bursts of activity.
引用
收藏
页码:302 / 311
页数:10
相关论文
共 18 条
  • [1] [Anonymous], 1998, THESIS U NEW BRUNSWI
  • [2] [Anonymous], 1992, 10 LECT WAVELETS
  • [3] Childress D. A., 1969, P 8 ICMBE CHIC IL, pS4
  • [4] ENTROPY-BASED ALGORITHMS FOR BEST BASIS SELECTION
    COIFMAN, RR
    WICKERHAUSER, MV
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 1992, 38 (02) : 713 - 718
  • [5] DORCAS D. S., 1966, MED BIOL ENG, V4, P367, DOI 10.1007/BF02476154
  • [6] Classification of the myoelectric signal using time-frequency based representations
    Engelhart, K
    Hudgins, B
    Parker, PA
    Stevenson, M
    [J]. MEDICAL ENGINEERING & PHYSICS, 1999, 21 (6-7) : 431 - 438
  • [7] Englehart K., 1995, WORLD C NEUR NETW WA
  • [8] Myoelectric teleoperation of a complex robotic hand
    Farry, KA
    Walker, ID
    Baraniuk, RG
    [J]. IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 1996, 12 (05): : 775 - 788
  • [9] GALLANT P, 1993, THESIS QUEENS U KING
  • [10] PROJECTION PURSUIT
    HUBER, PJ
    [J]. ANNALS OF STATISTICS, 1985, 13 (02) : 435 - 475