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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.
Participants will be asked to complete a series of activities, as outlined below.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control (healthy, non-PD participants) | 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. |
| |
| PD | 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. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Smartphone microphone sensor | Device | The volunteer will record themselves sustaining the short a vowel sound for 10 seconds. |
|
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
| 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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Inclusion Criteria:
Exclusion Criteria:
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Subjects must be healthy controls, or clinically diagnosed with PD in order to participate. They also may not have another illness that causes tremor and/or dysphonia - subjects who have PD must also have PD-related dysphonia and PD-related tremor.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Nitya Ayyagari | Contact | (925) 699-0817 | +1 | admin@goalspal.com |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Goalspal LLC | Recruiting | Pleasanton | California | 94566 | United States |
De-identified participant data may be made available to other researchers in a compiled dataset. 24 accelerometer features from each participant will be included in their entry, tagged by a GUID. Along with this, an audio file of them sustaining the short a vowel sound for 10 seconds will be a part of their entry. Finally, their status (control/PD), gender, and age-group will be included, so that statistical analyses can be made.
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| ID | Term |
|---|---|
| D010300 | Parkinson Disease |
| D055154 | Dysphonia |
| D014202 | Tremor |
| D009422 | Nervous System Diseases |
| ID | Term |
|---|---|
| D020734 | Parkinsonian Disorders |
| D001480 | Basal Ganglia Diseases |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
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Accelerometer data, voice recording, question responses (age-group, gender, PD/non-PD)
| Smartphone accelerometer sensor | Device | The volunteer's smartphone's accelerometer will record accelerometer data (positions on the x, y, and z axes) while the volunteer maintains 4 positions, each for 10 seconds. |
|
| D009069 | Movement Disorders |
| D000080874 | Synucleinopathies |
| D019636 | Neurodegenerative Diseases |
| D014832 | Voice Disorders |
| D007818 | Laryngeal Diseases |
| D012140 | Respiratory Tract Diseases |
| D010038 | Otorhinolaryngologic Diseases |
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D020820 | Dyskinesias |