Naive Bayes classification of neurodegenerative diseases by using discrete wavelet transform

Abstract

The main objective of this study is the detection and analysis of some neurodegenerative disorders. It is possible to determine the classification of Especially ALS (Amyotrophic Lateral Sclerosis), PD (Parkinson's Disease) and HD (Huntington's Disease) with respect to analysis of gait signals. Records obtained from gait signals can be converted the statistical values using DWT (Discrete Wavelet Transform). And also neurodegenerative gait signals are compared to control signals recorded from healthy subjects in the study. Other studies have been carried out for 5 minutes recordings in the literature. The innovative aspect of this study is to obtain the results of the recording by taking for 1 minute. So, this approach proposes a short measurement time for classification of neurodegenerative diseases. As a result, the classification of neurodegenerative diseases is obtained from gait signals using DWT and Naive Bayes method in the study and the discrimination of ALS disease can be achieved by using this method.