Trials / Completed
CompletedNCT04974034
Movement Disorders Analysis Using a Deep Learning Approach
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 50 (actual)
- Sponsor
- Hospital Avicenne · Academic / Other
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- Accepted
Summary
Bradykinesia is a key parkinsonian feature yet subjectively assessed by the MDS-UPDRS score, making reproducible measurements and follow-up challenging. In a Movement Disorder Unit, the investigators acquired a large database of videos showing parkinsonian patients performing Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III protocols. Using a Deep Learning approach on these videos, the investigators aimed to develop a tool to compute an objective score of bradykinesia from the three upper limb tests described in the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III.
Conditions
Timeline
- Start date
- 2019-06-01
- Primary completion
- 2020-11-18
- Completion
- 2020-12-31
- First posted
- 2021-07-23
- Last updated
- 2021-07-23
Locations
1 site across 1 country: France
Source: ClinicalTrials.gov record NCT04974034. Inclusion in this directory is not an endorsement.