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

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.

Inclusion Criteria:

• Study Group: 1. Patients with cervical spondylotic myelopathy diagnosed by clinical symptoms and cervical spine imaging examination (including cervical flexion and extension X-ray, cervical spine CT and cervical spine MRI).
• Control Group: 1. Healthy people without clinical and imaging manifestations of cervical spondylotic myelopathy.
• Age 18-80 years old.
• Can complete the informed consent process.

Exclusion Criteria:

• Patients with hand dysfunction caused by other reasons (such as rheumatoid arthritis, history of hand trauma, history of hand surgery, etc.).
• Patients who cannot complete the assessment process due to various reasons.