A Study to Analyze Symptoms Prevalent in Early PD (Dysphonia, Tremor)

Goalspal

Status: Enrolling

Conditions: Parkinson Disease

Treatments: Device: Smartphone microphone sensor; Device: Smartphone accelerometer sensor

Study type: Observational

Funder types: Other

Identifiers

NCT04288804

NIA0117210

Details and patient eligibility

About

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.

Full description

Participants will be asked to complete a series of activities, as outlined below.

1. They will be asked to turn on "Do Not Disturb" and set their smartphone's volume to the maximum. This is to ensure that they can hear narrated instructions guiding them through the activities to come, and that data collection is uninterrupted.
2. Volunteers will sustain the short a vowel sound for 10 seconds. This is to analyze PD-related dysphonia.
3. Volunteers will place their smartphone in their left hand and rest it in their lap for 10 seconds. This is to analyze PD-related rest tremor on the left side of the body. (Duration: 10 seconds)
4. Volunteers will place their smartphone in their right hand and rest it in their lap for 10 seconds. This is to analyze PD-related rest tremor on the right side of the body. (Duration: 10 seconds)
5. Volunteers will hold their smartphone face-down at shoulder-level, in their left hand. This is to analyze PD-related postural tremor on the left side of the body. (Duration: 10 seconds)
6. Volunteers will hold their smartphone face-down at shoulder-level, in their right hand. This is to analyze PD-related postural tremor on the right side of the body. (Duration: 10 seconds)

Finally, participants will be asked to indicate their gender, age group, and status (whether or not they have PD), for data-labeling purposes. Please note that all data is collected anonymously and thus cannot be tracked down to a specific participant. Nevertheless, it will be encrypted and stored in a secure database, with each participant corresponding to a GUID (Global Unique Identifier), although participants will not be asked for their name. As this is not a medical study, there are no expected medical side effects, however, certain activities and questions may seem frustrating and boring.

Participants will mainly benefit from the study indirectly, as it will increase understanding of symptoms prevalent in early PD, and may contribute to the development of diagnostic tools.

Enrollment: 1,000 estimated patients

Sex: All

Volunteers: Accepts Healthy Volunteers

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

Trial design

1,000 participants in 2 patient groups

Control (healthy, non-PD participants)

Description:

An audio file made up of a voice recording of the sustained short a vowel sound, along with accelerometer data while maintaining various positions, will be collected.

Treatment:

Device: Smartphone microphone sensor

Device: Smartphone accelerometer sensor

PD

Description:

An audio file made up of a voice recording of the sustained short a vowel sound, along with accelerometer data while maintaining various positions, will be collected.

Treatment:

Device: Smartphone microphone sensor

Device: Smartphone accelerometer sensor