The use of a voice recording app for diagnosis of Parkinson's disease for people living in rural and remote communities. A comparative study between people with early to mid-stage Parkinson's disease and age-matched healthy volunteers. - Trial ANZCTR12623000219684

Timeline & Enrollment

Primary Outcome

Analysis of the dynamics of the voice using 2 parameters of measurement in combination - amplitude, and frequency assessed using the app recordings.

Summary

Speech impairment is an early sign of Parkinson’s disease. Analysis of features of voice may be used as a diagnostic tool for the detection of Parkinson’s disease and in the assessment of its severity. In addition, people living in rural and remote communities often have difficulties in accessing specialist physicians for both diagnosis and continued assessment of Parkinson’s disease. The ultimate aim of this work is to develop an automated diagnostic tool for the assessment of speech impairments associated with Parkinson’s disease that may be used remotely. Patients will be able to record their voice on their personal device. Voice recordings will be analysed and the recorded voice and analysis sent to the specialist physician. The aim of this study is to ascertain features of the voice that are most useful in identifying differences in voice features between Parkinson’s disease patients and healthy age-matched controls using a mobile device. The hypothesis is that Parkinson’s disease patients will exhibit significantly different voice features compared with healthy age-matched controls.

ICD-10 Classifications