Movement Disorders Analysis Using a Deep Learning Approach
- Conditions
- Parkinson DiseaseBradykinesiaParkinsonian DisordersHypokinesiaAkinesiaParkinsonian Syndrome
- Registration Number
- NCT04974034
- Lead Sponsor
- Hospital Avicenne
- Brief 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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 50
- Age > 18 years
- Refusal of participation
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III score 1 day Automatic Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III for hand bradykinesia including the three following specific tasks (finger tapping, hand movements and pronation-supination movements of hand).
The minimum score is 0. The maximum score is 12 Higher scores mean wors outcome
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Hospital Avicenne
🇫🇷Bobigny, Seine Saint Denis, France