Medicine and Health Sciences Commons^™

Identifying Voice-Based Digital Biomarkers Of Parkinson's Disease, Rachelle Beshay, Madison Gill, Michael Shiraishi, Rahul Soangra

Student Scholar Symposium Abstracts and Posters

Introduction: Parkinson's disease is a disorder in the central nervous system that causes tremors, abnormal gait and balance, and muscle rigidity due to loss of function in parts of the brain. Traditionally, Parkinson's is identified by the physical symptoms seen in a patient's gait and motor skills, but irregular speech patterns (hypokinetic dysarthria) is one of the first symptoms to be derived from the disease. Objective: The goal of this ongoing study is to use Mel Frequency Centrum Coefficients (MFCC), to diagnose Parkinson's in the early stages by identifying hypokinetic dysarthria. MFCC's process speech recognition patterns and produce …