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

被引：33

作者：

Kocer, Sabri ^{[1
]}

机构：

[1] Gazi Univ, Dept Elect & Comp Educ, Fac Tech Educ, Ankara, Turkey

来源：

JOURNAL OF MEDICAL SYSTEMS | 2010年 / 34卷 / 03期

关键词：

EMG; Neuro-Fuzzy classification (NEFCLASS); Autoregressive (AR); IDENTIFICATION; NETWORKS; RULES;

D O I：

10.1007/s10916-008-9244-7

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

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.

引用

页码：321 / 329

页数：9

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