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.

A comparative clinical study of a voice recording app for the 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.

Status

Not yet recruiting

Phases

Unknown

Study type

Observational

Source

ANZCTR

Registry ID

ACTRN12623000219684

Enrollment

Registered

2023-03-02

Start date

2023-11-13

Completion date

2026-11-20

Last updated

2023-10-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief 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.

Interventions

Participants are requested to repeat sounds which are recorded on a mobile device (Tablet). Voice sounds include the voicing of the letters "oooooo" "mmmmm", "aaaaaa" "pppppp". The duration of the experiment is less than 5 minutes. The participant's recorded voice sounds are immediately saved electronically along with their #ID and sent directly to RMIT for secure storage and analysis. Data collection sessions for participants diagnosed with Parkinson's disease will be conducted face-to-face from the participating Neurology clinic in Dandenong as well as Goulburn Valley Health (GVH), Shepparton, Victoria. All experiments are conducted by the researchers from the School of Engineering, RMIT University or by a Movement disorders Nurse at GVH.

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Healthy volunteers

Yes

Inclusion criteria

1.People diagnosed with Parkinson's disease, as evidenced by Unified Parkinson's disease Rating Scale (UPDRS) scores consistent with minimal to moderate disease 2.Healthy age-matched controls

Exclusion criteria

For Parkinson''s disease participants - diagnosed with other neurodegenerative diseases or stroke For healthy controls - diagnosis of any neurodegenerative disease or stroke

Outcome results