Machine Vision Based MDS-UPDRS III Machine Rating

NCT05906719 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 871

Last updated 2023-06-18

No results posted yet for this study

Summary

The Movement Disorders Society (MDS) Unified Parkinson's Disease Rating Scale (UPDRS) Part III (MDS-UPDRS III) is the primary assessment method for motor symptoms in Parkinson's disease patients. Currently, movement disorder specialists conduct semi-quantitative scoring, which entails limitations such as subjectivity, weak sensitivity, and a limited number of professional physicians. This study, based on machine vision, establishes gold standard labels according to expert scoring. By using machine learning, we develop a machine rating model and compare the model's performance with gold standard rating and general clinical rating to investigate the accuracy of machine vision-based MDS-UPDRS III machine rating.

Conditions

  • Parkinsonian Disorders
  • Machine Learning

Interventions

OTHER

video recording

Patients' performance of MDS-UPDRS III will be recorded.

Sponsors & Collaborators

  • Second Affiliated Hospital of Soochow University

    collaborator OTHER
  • Beijing Hospital

    collaborator OTHER_GOV
  • Beijing Tiantan Hospital

    collaborator OTHER
  • Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

    collaborator OTHER
  • Fujian Medical University Union Hospital

    collaborator OTHER
  • Guangdong Provincial People's Hospital

    collaborator OTHER
  • West China Hospital

    collaborator OTHER
  • Ruijin Hospital

    lead OTHER

Eligibility

Min Age
20 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-03-01
Primary Completion
2024-04-01
Completion
2024-04-01

Countries

  • China

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 NCT05906719 on ClinicalTrials.gov