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Artificial Intelligence in Kinematics Analysis

NCT05443893 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 30

Last updated 2022-07-05

No results posted yet for this study

Summary

1. Establish data sets. The private data set includes relevant parameters including video of the subject's gait and standard methods for kinematic analysis;
2. Develop new models. Based on public and private data sets, the kinematic analysis model of human key point detection is further developed.
3. Test the new model. By comparing the parameters with the standard method, the accuracy of the model was verified, and the kinematics analysis model of artificial intelligence with accuracy above 98% was obtained

Conditions

  • Gait

Interventions

DEVICE

Application Research of key points detection technology

Artificial intelligence human key point detection model mainly has traditional algorithm, "top-down" algorithm and "bottom-up" algorithm three methods, three methods have advantages. This project will comprehensively use the above three methods to conduct algorithm and parameter debugging in the public data set and test in the private data set, so as to obtain the most suitable human key point recognition method for gait analysis

Sponsors & Collaborators

  • Peking University Third Hospital

    lead OTHER

Eligibility

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

Timeline & Regulatory

Start
2022-07-10
Primary Completion
2022-07-29
Completion
2022-08-30

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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 NCT05443893 on ClinicalTrials.gov