Movement Disorders Analysis Using a Deep Learning Approach

Hospital Avicenne

Status: Completed

Conditions: Bradykinesia; Parkinsonian Disorders; Parkinsonian Syndrome; Akinesia; Parkinson Disease; Hypokinesia

Study type: Observational

Funder types: Other

Identifiers

NCT04974034

CLEA-2019-83

Details and patient eligibility

About

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.

Enrollment: 50 patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Age > 18 years

Exclusion criteria

• Refusal of participation