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Developing a large scale population screening tool for the assessment of Parkinson’s disease using telephone-quality voice

Arora, Siddharth, Baghai-Ravary, Ladan and Tsanas, Athanasios Developing a large scale population screening tool for the assessment of Parkinson’s disease using telephone-quality voice. Journal of the Acoustical Society of America. (Accepted)

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Abstract

Recent studies have demonstrated that analysis of lab-quality voice recordings can be used to accurately differentiate people diagnosed with Parkinson’s disease (PD) from healthy controls (HC). These findings could help facilitate the development of remote screening and monitoring tools for PD. In this study, we analyzed 2759 telephone-quality voice recordings from 1483 PD and 15321 recordings from 8300 HC participants. To account for variations in phonetic backgrounds, we acquired data from seven countries. We developed a statistical framework for analyzing voice, whereby we computed 307 dysphonia measures that quantify different properties of voice impairment, such as, breathiness, roughness, monopitch, hoarse voice quality, and exaggerated vocal tremor. We used feature selection algorithms to identify robust parsimonious feature subsets, which were used in combination with a Random Forests (RF) classifier to accurately distinguish PD from HC. The best 10-fold cross-validation performance was obtained using Gram-Schmidt Orthogonalization (GSO) and RF, leading to mean sensitivity of 64.90% (SD 2.90%) and mean specificity of 67.96% (SD 2.90%). This large-scale study is a step forward towards assessing the development of a reliable, cost-effective and practical clinical decision support tool for screening the population at large for PD using telephone-quality voice.

Item Type: Article
Keywords: Dysphonia measures; feature selection; Parkinson’s; voice impairment; management science
Subject(s): Management science
Date Deposited: 17 Apr 2019 11:26
Last Modified: 29 Apr 2019 08:04
Funders: n/a
URI: http://eureka.sbs.ox.ac.uk/id/eprint/7371

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