대한전기학회논문지:시스템및제어부문D (The Transactions of the Korean Institute of Electrical Engineers D)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

근 반응제거를 위한 적응필터 설계와 FPGA 구현

Design of Adaptive Filter for Muscle Response Suppression and FPGA Implementation

  • 염호준 (연세대 보건과학대 의공학과) ;
  • 박영철 (연세대 보건과학대 의공학과) ;
  • 윤형로 (연세대 문리대 정보처리학부)
  • 발행 : 2003.12.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

The surface EMG signal detected from voluntarily activated muscles can be used as a control signal for functional electrical stimulation. To use the voluntary EMG signal, it is necessary to eliminate the muscle response evoked by the electrical stimulation and enable to process the algorithm in real time. In this paper, we propose the Gram-Schmidt(GS) algorithm and implement it in FPGA(field programmable gate array). GS algorithm is efficient to eliminate periodic signals like muscle response, and is more stable and suitable to FPGA implementations than the conventional least-square approach, due to the systolic array structure.

키워드

참고문헌

  1. L.Vodovnik, C.Long, J.B.Reswick, A.Lippay, and D.Starbuck, 'Myo-electric control of paralyzed muscles', IEEE Trans. Rehab. Eng., vol.12, pp. 169-172, July/Oct. 1965 https://doi.org/10.1109/TBME.1965.4502374
  2. R.H.Nathan, 'An FNS-based system for generating upper limb function in the C4 quadriplegic', Med.Bio.Eng.Comput., vol.27, pp. 549-556, Nov. 1989 https://doi.org/10.1007/BF02441635
  3. C.Frigo, M.Ferrarin, W.Frasson, E.Pavan, and R.Thorsen, 'EMG signal detection and processing for on-line control of functional electrical stmulation', J Electromyo. and kid., pp. 351-360, Oct. 2000 https://doi.org/10.1016/S1050-6411(00)00026-2
  4. R.I. Barbosa-Mier, and A.C. Chica, 'Comparison of adaptive system for suppression of stimulation artifacts in EMG signals', IEEE pp. 144-148, 1995 https://doi.org/10.1109/ICCDCS.1995.499133
  5. W.Peasgood, et al. 'EMG-controlled closed loop electrical stimulation using a digital signal processor' , Electronics letters, vol.36, No.22, pp. 1832-1833, Oct. 2000 https://doi.org/10.1049/el:20001319
  6. S.Sennels, et al. 'Functional Neuromuscular Stimulation Controlled by Surface Electromyographic Signals Produced by volitional activation of the same muscle', IEEE Trans. Rehab. Eng., vol. 5, No.2, pp. 195-295 June. 1997 https://doi.org/10.1109/86.593293
  7. T.Keller, A.Curt, M.R. Popovic, 'Grasping in high lesioned tetraplegic subjects using the EMG controlled neuroprosthesis', J. Neuro Reh vol 10, pp. 251-255 , 1998 https://doi.org/10.1016/S1053-8135(97)00057-7
  8. R.Merletti, M.Knaflitx, and C.J. Deluca, 'Electrically evoked myoelectric signal', Crit.Rev.Biomed.Eng., vol19, No. 4, pp. 293-340, 1992
  9. K.Gerlach and F.F.Kretschmer Jr., 'Convergence Properties of Gram-Schmidt and SMI Adaptive Algorithms', IEEE Trans. Aerospace &Electronic System, vol AES-26, No.1, pp. 44-56, Jan. 1990 https://doi.org/10.1109/7.53412