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A Pilot Study to Evaluate the Severity of Motor Dysfunction in Parkinson's Disease Based on AI Video Analysis

NCT03655171 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 30

Last updated 2019-01-22

No results posted yet for this study

Summary

This study is a pilot study, mainly to explore the potential application value of specific pattern movement after video-based quantitative methods in the early recognition and assessment of Parkinson's disease. According to UPDRS III, a series of motion indicators related to the characteristics of the disease were determined and quantitatively analysed. Motor function scores were given by the senior physicians and the AI video analysis team separately to evaluate the accuracy of the scores of AI video analysis compared with that of senior specialists' team of movement disorders.

Conditions

  • Parkinson Disease

Interventions

DIAGNOSTIC_TEST

Video-based quantitative methods

The AI video analysis is used to automatically identify motion details and quantify motion features such as amplitude and angular velocity, then an algorithm will be applied to generate the degree of motor dysfunction.

Sponsors & Collaborators

  • Tencent AI Lab

    collaborator UNKNOWN

  • Huashan Hospital

    lead OTHER

Eligibility

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

Timeline & Regulatory

Start
2018-08-20
Primary Completion
2018-10-20
Completion
2018-11-20

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 NCT03655171 on ClinicalTrials.gov