Akinesia, Bradykinesia, Hypokinesia, Parkinson Disease, Parkinsonian Disorders, Parkinsonian Syndrome
Conditions
Keywords
Deep Learning, Bradykinesia, Parkinson Disease
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.
Interventions
None listed
Sponsors
Hospital Avicenne
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Age \> 18 years
Exclusion criteria
* Refusal of participation
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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 |
Countries
France
Outcome results
None listed