Utilizing Smart Devices to Identify New Phenotypical Characteristics in Movement Disorders
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Atypical Parkinsonism
- Essential Tremor
- Movement Disorders
- Parkinson Disease
- Parkinson's Syndrome
- Type
- Observational
- Design
- Observational Model: Case-ControlTime Perspective: Prospective
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Both males and females
Description
Current smart devices as smartphones and smartwatches have reached a level of technical sophistication that enables high-resolution monitoring of movements not only for everyday sports activities but also for movement disorders. Tremor-related diseases as Parkinson's Disease (PD) and Essential Tremo...
Current smart devices as smartphones and smartwatches have reached a level of technical sophistication that enables high-resolution monitoring of movements not only for everyday sports activities but also for movement disorders. Tremor-related diseases as Parkinson's Disease (PD) and Essential Tremor (ET) are two of the most common movement disorders. Disease classification is primarily based on clinical criteria and remains challenging. The primary goal of this study is to identify new phenotypical characteristics based on the captured movement data by the tremor-capturing smartwatches and tablets and smartphone-based questionnaires. The system will be applied and analyzed within an experimental and observational setting and only captures from patients, which have received informed consent. Within the study period, the SDS is not intended as clinical diagnostic support for physicians and will be not be used as medical device.
Tracking Information
- NCT #
- NCT03638479
- Collaborators
- Not Provided
- Investigators
- Principal Investigator: Julian Varghese, MD WWU Münster, Institut für Medizinische Informatik