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Leveraging Machine Learning to Effortlessly Track Patient Movement in the Clinic.

NCT04074772 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 25

Last updated 2022-01-11

No results posted yet for this study

Summary

The objective of this study is the development of a system that will allow for the precise measurement of movement kinematics in a clinical exam setting using natural video from three cameras and machine learning to track points of interest. The investigators aim to implement such system in an unobtrusive and simply-incorporated way into the physical exam to provide exact, objective measures to detect patient movement abnormalities in ways not feasible with current tracking technologies.

Conditions

Sponsors & Collaborators

  • University of Colorado, Denver

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-12-07
Primary Completion
2021-10-01
Completion
2021-10-01

Countries

  • United States

Study Locations

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Entities

Diseases

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 NCT04074772 on ClinicalTrials.gov