Using Wearable and Mobile Data to Diagnose and Monitor Movement Disorders

Status unconfirmed

Conditions studied: Essential Tremor, Parkinson Disease, Huntington Disease, Dystonia, Primary, Spinocerebellar Ataxias, Movement Disorders

In brief

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.

Key facts

Study ID
NCT04231487
Run by
Rutgers, The State University of New Jersey
People needed
210
Starts
2019-06-27
Expected to finish
2022-12-31
Last updated by the study team
2022-09-21

Who can join

Age: 18 and older, up to 80. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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