An Algorithm for Distinction between Denervation Potentials and Endplate Spikes on EMG Diagnosis

근전도 검사에서 나타나는 탈신경전위와 종판전위의 구별을 위한 알고리듬

  • Choi, H.B. (Department of Biomedical Engineering, College of Health Science, Inje University) ;
  • Hwang, Y.S. (Department of Rehabilitation, College of Medicine, Inje University) ;
  • Park, I.S. (Department of Rehabilitation, College of Medicine, Inje University) ;
  • Im, J.J. (Department of Biomedical Engineering, College of Health Science, Inje University)
  • Published : 1997.05.23

Abstract

In the EMG evaluation, the neuropathy may be diagnosed by a detection of denervation potentials in the group of muscles. These abnomal potentials might be confused with normal endplate spikes. In this paper we present the software algorithm in C, which automatically detects spontaneous activity such as denervation potentials and endplate potentials and distingushes between those potentials. Parameters with statistically significant differences were used for this automated algorithm. It was concluded that the algorithm established in this study will improve accuracy in EMG diagnosis.

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