Speed improvement of EMG signal decomposition for clinical diagnosis

임상진단을 위한 근신호 분리의 속도 개선

  • Kim, G. H. (Dept. of Electronics Engineering, Seoul City University) ;
  • Kim, J. W. (Dept. of Electronics Engineering, Seoul City University) ;
  • Kim, K. S. (Dept. of Electronics Engineering, Seoul City University) ;
  • Cho, I. J. (Dept. of Electronics Engineering, Seoul City University) ;
  • Lee, J. (Dept. of Electronics Engineering, Seoul City University) ;
  • Kim, H. S, (Dept. of Electronics Engineering, Seoul City University)
  • 김규학 (서울시립대학교 전자공학과) ;
  • 김종원 (서울시립대학교 전자공학과) ;
  • 김근섭 (서울시립대학교 전자공학과) ;
  • 조일준 (서울시립대학교 전자공학과) ;
  • 이진 (서울시립대학교 전자공학과) ;
  • 김성환 (서울시립대학교 전자공학과)
  • Published : 1990.10.01

Abstract

A new speed improvement method for quantitative superimposed EMG signal analysis to diagnose the neuromuscular dysfunction is described. The improvement is achieved through the use of efficient software and hardware signal processing techniques. The software approch is composed of the MANDF filter and HRWA algorithm which provides the optimal set and time delays of-selected templates. The hardware employs a TMS32OC25 DSP chip to execute the intensive calculation part. The purposed method is verified through a simulation with real templates which are obtained from needle EMG. As a results, the proposed method provides an overall speed improvement of 32-40 times.

Keywords