Novel Voice Indicator for Distinguishing Parkinson's Disease

Shuji Shinohara1, Shinichi Tokuno1

  • 1The University of Tokyo

Details

14:50 - 15:05 | Wed 12 Jul | Schmitt Room | WeBT10.3

Session: Voice Frequency Analysis: Expectation for the Convenient but Powerful Diagnostic Tool for Neuropsychiatric Disorders

Full Text

Digital Library Website

Abstract

In this paper, we propose a novel voice indicator capable of distinguishing healthy subjects from patients with Parkinson's disease. Specifically, we propose an indicator based on the relationship between two indices, the Zero Crossing Rate (ZCR) used in fields such as Voice Activity Detection (VAD), and the Hurst Exponent (HE) used in stock price analysis.