Utilizing Smart Devices to Identify New Phenotypical Characteristics in Movement Disorders
NCT03638479 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 513
Last updated 2022-06-13
Summary
This observational and experimental study seeks to establish a Smart Device System (SDS) to monitor high-resolution handtremor-based data using Smartphones, SmartWatches and Tablets. By doing this, movement data will be analyzed in depth with advanced statistical and Deep-Learning algorithms to identify new clinical phenotypical characteristics Parkinson's Disease and Essential Tremor.
Conditions
- Parkinson Disease
- Essential Tremor
- Movement Disorders
- Parkinson's Syndrome
- Atypical Parkinsonism
Interventions
- OTHER
-
Data Capture
This is no intervention. Participants of all groups will receive data Capture with smartphones, smartwatches and tablets.
Sponsors & Collaborators
-
Universität Münster
lead OTHER
Principal Investigators
-
Julian Varghese, MD · WWU Münster, Institut für Medizinische Informatik
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2019-01-08
- Primary Completion
- 2021-12-31
- Completion
- 2021-12-31
Countries
- Germany
Study Locations
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