Evaluation and optimization of the effectiveness of intelligent devices in athletic injury rehabilitation training

Abstract

People are prone to injuries during exercise, and effective rehabilitation training is crucial for restoring tissue function, reducing pain, and preventing further injuries. To more scientifically assist the injured in rehabilitation training, wearable intelligent devices can be used to assist the injured in diagnosing the sites of the injury, developing rehabilitation training plans, or providing training reminders. Firstly, the sites of the injuries are measured through sensors. Then, by inputting individual differences such as individual characteristics and physical health status into the device, a unique rehabilitation training plan is generated. Finally, the injured are urged and reminded through equipment to ensure that they can complete their rehabilitation plan on time and in the required amount. This can not only help the injured generate a scientific rehabilitation training plan in a timely and accurate manner, but also ensure the quality of rehabilitation training. Compared with traditional rehabilitation training, the score of using intelligent devices to assist the injured in rehabilitation training is higher than the score of traditional rehabilitation training, and the average score of rehabilitation training combined with intelligent devices is higher than 90 points. Intelligent devices can help injured individuals generate more scientific and effective rehabilitation training plans, while also supervising the execution of the plans. Intelligent devices have played a positive role in athletic injury rehabilitation training, helping injured individuals recover their health.

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