Research on the Improved Image Tracking Algorithm of Athletes’ Cervical Health

Abstract

Objective: With the increasing number and youth of patients with cervical spondylosis, people pay more and more attention to the cervical spine. Early diagnosis, intervention and treatment play an important role in the recovery of cervical spondylosis. With the continuous development of computer technology, the improvement of various modeling theories, and the application of image processing methods in orthopedics, new ideas are opened to observe cervical vertebra motion health. Methods: In this paper, the measurement of cervical motion is achieved by machine vision. A method of parameter measurement based on the constraint relationship of lower cervical motion is proposed. Based on image preprocessing, the left edge of the cervical vertebra was extracted and analyzed. Results: With the horizontal coordinate of registration point as the reference line, the changing trend of the angle between the left edge curve and the reference line of C4 and C5 vertebrae in the process of spontaneous flexion and extension of the cervical vertebrae was observed, and the movement rate of the cervical vertebrae was analyzed. Conclusions: It was found that the speed of the cervical vertebrae in the process of movement of the patients with cervical spondylosis showed jumping changes. Level of evidence II; Therapeutic studies - investigation of treatment results.

Intelligent Evaluation Method of Human Cervical Vertebra Rehabilitation Based on Computer Vision

“…However, since in the actual scene, both the spine and the cervical vertebrae are wrapped with skin and muscle, rather than a thin curve exposed as in the text, this can cause great interference to this method of point selection and evaluation, making the results inaccurate. Jiang, J. addressed this problem by extracting the left edge after image enhancement of X-ray images of the cervical spine and analyzing the patient's cervical spine health [28]. Wang, Y. et al adopted an improved Yolov3 algorithm to extract the cervical vertebrae in infrared thermal images [29].…”