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Movement Disorders Analysis Using a Deep Learning Approach

NCT04974034 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 50

Last updated 2021-07-23

No results posted yet for this study

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

  • Bradykinesia
  • Parkinson Disease
  • Hypokinesia
  • Akinesia
  • Parkinsonian Syndrome
  • Parkinsonian Disorders

Sponsors & Collaborators

  • Hospital Avicenne

    lead OTHER

Principal Investigators

  • Clément Desjardins, MD · Hospital Avicenne

  • Bertrand Degos, MD,PhD · Hospital Avicenne

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2019-06-01
Primary Completion
2020-11-18
Completion
2020-12-31

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04974034 on ClinicalTrials.gov