Parameter Extraction for the Distinction between Denervation Potentials and Endplate Spikes on EMG Diagnosis

근전도검사에서 나타나는 탈신경전위와 종판전위와의 구별을 위한 변수추출

  • Hwang, Y.S. (Department of Rehabilitation, College of Medicine, Inje University) ;
  • Choi, H.B. (Department of Biomedical Engineering, College of Health Sciences, Inje University) ;
  • Im, J.J. (Department of Biomedical Engineering, College of Health Sciences, Inje University) ;
  • Park, I.S. (Department of Rehabilitation, College of Medicine, Inje University)
  • 황윤성 (인제대학교 의과대학 재활의학과) ;
  • 최현배 (인제대학교 보건대학 의용공학과) ;
  • 임재중 (인제대학교 보건대학 의용공학과) ;
  • 박인선 (인제대학교 의과대학 재활의학과)
  • Published : 1996.11.15

Abstract

During the electromyographic evaluation, the presence and site of lession may be predicted by a detection of denervation potentials such as fibrllation potentials or positive sharp waves in the group of muscles. Currently, clinicians diagnose the neuropathy by detecting fibrillation potentials during EMG tests, and sometimes it is not easy to distinguish between denervation potentials and endplate spikes. The purpose of this study was to find statistically significant parameters for the quantitative distinction between denervation potentials and endplate spikes. Endplate spikes and denervation potentials from the EDB muscle of 10 patients were extracted. Also, EMG signals were classified by experienced clinicians, and were collected using a 12 bit ADC with a sampling rate of 20KHz for the duration of 400msec. In order to find statistically significant parameters, positive and negative peaks were used for analysis. As a results, standard deviation of the endplate spikes and denervation potentials showed more significant difference than others specially for the positive sharp waves. It was concluded that the results of this study could be used to develope an automated system of a EMG analysis.

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