Parkinson Disease Clinical Trial
Official title:
A Study to Analyze Features of Dysphonia and Tremor in PD Patients to Aid in the Development of an Accurate Diagnostic Tool for Early-Detection of PD
This is a web-based study that involves monitoring hallmark symptoms of Parkinson's Disease (PD), specifically dysphonia and tremor, using smartphone sensor data. The entire length of the study will only take 5 minutes, so volunteers will not have to repeatedly contribute data. The study is made up of 5 short, 10-second long activities, which include sustaining the short a vowel sound to monitor changes in vocal fundamental frequency and holding a smartphone in different positions on either side of the body to measure changes in amplitude. To be a part of this study, volunteers must have an iPhone that is running on the software iOS 13 or higher, because they will be asked to download a smartphone application from an online App Store.
Status | Recruiting |
Enrollment | 1000 |
Est. completion date | December 26, 2023 |
Est. primary completion date | December 26, 2023 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | N/A and older |
Eligibility | Inclusion Criteria: - Clinical diagnosis of Parkinson's Disease (PD) - Healthy Exclusion Criteria: - Subject does not have clinical diagnosis of PD, however, has another neurological disorder/disease that manifests with symptoms of tremor or dysphonia - Subject diagnosed with PD does not have dysphonia and tremor |
Country | Name | City | State |
---|---|---|---|
United States | Goalspal LLC | Pleasanton | California |
Lead Sponsor | Collaborator |
---|---|
Goalspal LLC |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | PD-related Tremor | 24 features, composed of mean absolute deviation and mean standard deviation for each axis (x, y, z), for 4 likely occurrences of tremor, will be observed by looking at the accelerometer data file of each participant. | 40 seconds | |
Primary | PD-related Dysphonia | Features, composed of vocal fundamental frequency, and similar measures to jitter and shimmer, will be observed by looking at the mel spectrogram for the audio file of each participant. | 10 seconds |
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