Discrimination between the patients with CIPD and Charcot-Marie-Tooth utilizing the fuzzy logic system based classifiers

In this paper, a diagnostic approach has been presented for discriminating between patients with acquired neuropathy called CIDP and congenital neuropathy called Charcot-Marie-Tooth. In the presented approach, nine time-domain and frequency-domain features extracted from the surface EMG signals of tibialis anterior and rectus femoris muscles recorded during walking in patients.All data is the result of 82 human examinations done on the three groups of healthy individuals (34 samples), CIDP patients (25 samples) and Charcot-Marie-Tooth patients (23 samples).70% of the gathered data was used for training and the rest 30% for testing the classifiers. Then, fuzzy KNN classifiers and Adaptive neuro fuzzy inference system(ANFIS) were utilized to detect the discrepancies between two groups of patients. The performance of fuzzy KNN and Anfis were compared. The results show that the accuracies were 98.4% and 96.8% for fuzzy KNN and Anfis classifiers, respectively.