Classification of Emg Signals Using Neuro-Fuzzy System and Diagnosis of Neuromuscular Diseases

Kocer S.

JOURNAL OF MEDICAL SYSTEMS, cilt.34, sa.3, ss.321-329, 2010 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 34 Sayı: 3
  • Basım Tarihi: 2010
  • Doi Numarası: 10.1007/s10916-008-9244-7
  • Dergi Adı: JOURNAL OF MEDICAL SYSTEMS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.321-329
  • Anahtar Kelimeler: EMG, Neuro-Fuzzy classification (NEFCLASS), Autoregressive (AR), IDENTIFICATION, NETWORKS, RULES
  • Gazi Üniversitesi Adresli: Hayır

Özet

This work investigates the performance of neuro-fuzzy system for analyzing and classifying EMG signals recorded from normal, neuropathy, and myopathy subjects. EMG signals were obtained from 177 subjects, 60 of them had suffered from neuropathy disorder, 60 of them had suffered from myopathy disorder, and rest of them had been normal. Coefficients that were obtained from the EMG signals using Autoregressive (AR) analysis was applied to neuro-fuzzy system. The classification performance of the feature sets was investigated for three classes.