Gait Clinical Trial - Artificial Intelligence in Kinematics Analysis

Status Not yet recruiting

Clinical Trial 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

Clinical Trial Description

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 ;

Study Design

Related Conditions & MeSH terms

Gait

Clinical Trial Details

NCT number	NCT05443893
Study type	Observational
Source	Peking University Third Hospital
Contact	Mouwang Zhou
Phone	13910092892
Email	zhoumouwang@outlook.com
Status	Not yet recruiting
Phase
Start date	July 10, 2022
Completion date	August 30, 2022

View Details

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