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

The Korean Institute of Electrical Engineers (대한전기학회)
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Design of Adaptive Filter for Muscle Response Suppression and FPGA Implementation

근 반응제거를 위한 적응필터 설계와 FPGA 구현

  • 염호준 (연세대 보건과학대 의공학과) ;
  • 박영철 (연세대 보건과학대 의공학과) ;
  • 윤형로 (연세대 문리대 정보처리학부)
  • Published : 2003.12.01
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Abstract

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.

Keywords

References

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