Movement Disorders Analysis Using a Deep Learning Approach
NCT ID: NCT04974034
Last Updated: 2021-07-23
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
50 participants
OBSERVATIONAL
2019-06-01
2020-12-31
Brief Summary
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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.
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
Yes
Sponsors
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Hospital Avicenne
OTHER
Responsible Party
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Desjardins Clement
Neurology Resident
Principal Investigators
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Clément Desjardins, MD
Role: PRINCIPAL_INVESTIGATOR
Hospital Avicenne
Bertrand Degos, MD,PhD
Role: STUDY_DIRECTOR
Hospital Avicenne
Locations
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Hospital Avicenne
Bobigny, Seine Saint Denis, France
Countries
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Other Identifiers
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CLEA-2019-83
Identifier Type: -
Identifier Source: org_study_id
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