Viewing Study NCT05443893


Ignite Creation Date: 2025-12-25 @ 1:03 AM
Ignite Modification Date: 2025-12-30 @ 12:19 PM
Study NCT ID: NCT05443893
Status: UNKNOWN
Last Update Posted: 2022-07-05
First Post: 2022-06-03
Is NOT Gene Therapy: True
Has Adverse Events: False

Brief Title: Artificial Intelligence in Kinematics Analysis
Sponsor: Peking University Third Hospital
Organization:

Study Overview

Official Title: Application Research of Key Points Detection Technology of Artificial Intelligence in Kinematics Analysis
Status: UNKNOWN
Status Verified Date: 2022-07
Last Known Status: NOT_YET_RECRUITING
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
Brief 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
Detailed 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 Oversight

Has Oversight DMC:
Is a FDA Regulated Drug?:
Is a FDA Regulated Device?:
Is an Unapproved Device?:
Is a PPSD?:
Is a US Export?:
Is an FDA AA801 Violation?: