Using Wearable and Mobile Data to Diagnose and Monitor Movement Disorders
NCT04231487 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 210
Last updated 2022-09-21
Summary
The purpose of the research is to better understand the motor behavior of individuals in health and disease. The specific purpose of this project is to identify if we can utilize a smartphone to diagnose different movement disorders and monitor their symptoms.
A. Objectives
1. Estimate symptom severity of Essential tremor (ET), Parkinson's disease (PD), Huntington's disease (HD), Primary focal dystonia (PFD), spinocerebellar ataxia (SCA), and Functional movement disorders (FMD) using a smartphone-based application
2. Differentiate individuals with the different movement disorders from healthy controls based on features from the smartphone data
3. Differentiate individuals with a specific movement disorder from people with other movement disorders based on features from the smartphone data
B. Hypotheses / Research Question(s) We hypothesize that we can estimate the severity of symptoms using a smartphone application and that, using those estimates, we can differentiate individuals with movement disorders from healthy controls and from people with other movement disorders.
Conditions
- Essential Tremor
- Parkinson Disease
- Huntington Disease
- Dystonia, Primary
- Spinocerebellar Ataxias
- Movement Disorders
Sponsors & Collaborators
-
Rutgers, The State University of New Jersey
lead OTHER
Eligibility
- Min Age
- 18 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2019-06-27
- Primary Completion
- 2022-12-31
- Completion
- 2022-12-31
Countries
- United States
Study Locations
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