Sports Rehabilitation of Patients with Scoliosis Based on Intelligent Data Collection Technology under the Background of Artificial Intelligence

Abstract

With the popularization of medical information management and the development of various intelligent data collection and storage technologies, health-related data, such as monitoring data from smart wearable devices, clinical records from medical institutions, and exercise information from health apps Wait, these data are growing at an alarming rate. The main purpose of this article is to study the sports rehabilitation of patients with scoliosis under the background of big data. Through a large amount of literature analysis, this article summarizes the concept of scoliosis, the classification of scoliosis, and the etiology of scoliosis, which provides theoretical support for the study of sports rehabilitation methods for patients with scoliosis. In this article, while understanding the current research status of rehabilitation treatment for patients with scoliosis, I consulted a large number of research reports and cases of rehabilitation treatment for scoliosis patients at home and abroad, and learned that there are surgical treatment methods and non-operative treatments in the rehabilitation of idiopathic scoliosis. There are two surgical treatments, among which non-surgical treatments are more commonly used in adolescent patients with idiopathic scoliosis. In order to understand the practicality of corrective actions and the psychological feelings of patients, this article prepares corrective action experiments and satisfaction survey experiments for patients with scoliosis. Research experiments show that more than 75% of people are satisfied with scoliosis rehabilitation through exercise above 80 points, and patients are more recognized and accept the exercise rehabilitation model; most corrective actions are beneficial to patients with scoliosis Rehabilitation.