Cervical spinal spondylopathy auxiliary diagnosis system based on gait analysis and deterministic learning

Abstract

The invention discloses a cervical spondylotic myelopathy auxiliary diagnosis system based on gait analysis and deterministic learning, and the system comprises a motion capture system which comprises a plurality of cameras and is used for carrying out the motion data collection of a subject whose joints are pasted with markers; the auxiliary diagnosis system is used for acquiring lower limb movement data of the subject and extracting gait features; based on a pre-trained cervical spondylotic myelopathy auxiliary diagnosis model, judging whether a patient suffers from the disease or not; wherein the auxiliary diagnosis model is constructed based on a deterministic learning theory. According to the method, the nonlinear dynamics of the gait mode of the cervical spondylotic myelopathy patient is recognized and classified by combining the deterministic learning theory and the new model for extracting the features, and the precision is high.

Description

technical field [0001] The invention belongs to the technical field of intelligent medical treatment, and in particular relates to an auxiliary diagnosis system for cervical spondylotic myelopathy based on gait analysis and deterministic learning. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Cervical spondylotic myelopathy (CSM) is a degenerative disease of the cervical discs and joints that can lead to nerve damage. It represents progressive spinal cord disease commonly seen in middle-aged patients, especially those over the age of 50. Clinical symptoms of CSM include clumsiness of the hands, hyperreflexia, upper extremity numbness and loss of mobility, neck pain, and gait disturbance. Although CSM is common, the lack of signs and symptoms and heterogeneous presentation make early detection of CSM challenging. [0004] Currently, th...

AI Technical Summary

Problems solved by technology

However, with the advent of MRI to assess pathological changes within the spinal cord, MR has shown a weaker correlation between MR manifestations and clinical symptoms

Additionally, CT scans are time-consuming and expensive

The accuracy of these imaging methods mainly depends on the clinician's medical knowledge and clinical experience, which is subjective and error-prone

Images