Abstract
Voice signal analysis is becoming one of the most significant examination in clinical practice due to the importance of extracting related parameters to reflect the patient's health. In this regard, various acoustic studies have been revealed that the analysis of laryngeal, respiratory and articulatory function may be efficient as an early indicator in the diagnosis of Parkinson disease (PD). PD is a common chronic neurodegenerative disorder, which affects a central nervous system and it is characterized by progressive loss of muscle control. Tremor, movement and speech disorders are the main symptoms of PD. The diagnosis decision of PD is obtained by continued clinical observation which relies on expert human observer. Therefore, an additional diagnosis method is desirable for most comfortable and timely detection of PD as well as faster treatment is needed. In this study, we develop and validate automated classification algorithms, which are based on Naïve Bayes and K- Nearest Neighbors (KNN) using voice signal measurements to predict PD. According to the results, the diagnostic performance provided by the automated classification algorithm using Naïve Bayes was superior to that of the KNN and it is useful as a predictive tool for PD screening with a high degree of accuracy, approximately 93.3%.
Highlights
Parkinson’s disease (PD) is one of the most common neurodegenerative disorders, which affecting older people, with most cases occurring after the age of 50 (Janvin et al, 2006)
We develop an efficient algorithm for automatic classification of voice signal features to detect abnormalities in speech in order to predict PD
Naïve Bayes and K- Nearest Neighbors (KNN) return the class level of testing samples identified by the help of training samples, each classifier based on its classification methodology, i.e. for Naïve Bayes based on “probability” and for KNN based on “nearness”
Summary
Parkinson’s disease (PD) is one of the most common neurodegenerative disorders, which affecting older people, with most cases occurring after the age of 50 (Janvin et al, 2006). This kind of disease affects a central nervous system which causes progressive loss of muscle control with the distinctive signs include shiver or shake in the hand, arm, leg, jaw, face, bradykinesia and Difficulty in swallowing, chewing, breathing, speech (Noth et al, 2011). It has been reported that the problems with the PD patient could be improved with planned treatment based on regular physical exercise, especially problems related to difficulty in speech, mobility and strength (Nagal & Singla, 2012)
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