NCT06242054

Motor Function Assessment System Based on Video Tracking and Artificial Intelligence Technique

The Development and Clinical Application of a Motor Function Assessment System Based on Video Tracking and Artificial Intelligence Technique

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 72 (actual)
• Sponsor: Peking University Third Hospital · Academic / Other
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: Accepted

Summary

The goal of this clinical trial is to develop a motion recognition system based on video tracking technology and combine it with artificial intelligence technology to form a motion recognition and function evaluation system in in healthy people and patients with cervical spondylotic myelopathy. The main questions it aims to answer are: * The development of this motion recognition system, * In the scenario of hand motor dysfunction, the key parameters of hand movement in healthy people and patients with cervical spondylotic myelopathy were evaluated, and the hand motor function model was established to achieve an objective, highly sensitive, highly specific, repeatable and easy-to-use system in clinical hand motor function evaluation. Participants will recieved the evaluation of this system and mJOA before the surgery. If there is a comparison group: Researchers will compare the evaluation results of healthy people to see if this system could recognized the hand motor dysfunction of patients with cervical spondylotic myelopathy.

Conditions

• Cervical Spine Myelopathy

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Motor Function Assessment System	Participants were instructed to extend their fingers and subsequently clench their fists to the maximum possible range of motion, in order to complete the evaluation of Motor Function Assessment System.

Timeline

• Start date: 2021-01-01
• Primary completion: 2022-06-01
• Completion: 2022-12-31
• First posted: 2024-02-05
• Last updated: 2024-02-05

Locations

1 site across 1 country: China