RETRACTED ARTICLE: Simulation of sports injury prevention and rehabilitation monitoring based on fiber optic sensors and machine learning algorithms

Sports injury is a common problem in sports activities, which has a negative impact on the physical health and performance ability of athletes. Therefore, this study aims to explore a sports injury prevention and rehabilitation monitoring method based on fiber optic sensors and machine learning algorithms to improve the rehabilitation effect of athletes and reduce the risk of secondary injuries. The study used fiber-optic sensors to monitor athletes’ joint movement and muscle activity, and collected a large amount of data related to sports injuries. The data is then analyzed and modeled using machine learning algorithms to identify potential risk factors for sports injuries. The effectiveness and accuracy of the proposed method are verified by simulation experiments in the laboratory and in the field. Fiber-optic sensors are able to monitor athletes’ joint movements and muscle activity in real time and send alerts when they detect abnormal patterns. Machine learning algorithms can accurately identify potential risk factors for sports injuries and provide guidance for the development of rehabilitation programs.