Evaluation of wearable sports rehabilitation medical measurement system based on the internet of things

Abstract

Sports rehabilitation medicine uses sports training and rehab treatment to improve physical function recovery after illnesses, injuries, disabilities, or surgeries. It involves restoring muscle strength, joint range of motion, flexibility, and coordination while reducing pain and soreness, and improving cardiopulmonary function. Wearable IoT devices with sensors and wireless communication tech collect and transmit physiological information for analysis and processing. These devices monitor health, provide exercise training, and assist with rehab in daily wear equipment. The Internet of Things technology can provide a more accurate, convenient and personalized rehabilitation treatment method, accelerating the recovery and rehabilitation process of patients. This project would utilize Internet of Things technology to construct a medical measurement system for sports rehabilitation through measurement algorithms for sports rehabilitation data. Through comparative experiments, the accuracy of the exercise rehabilitation data measurement algorithm based on Internet of Things technology in measuring patient body data was studied and tested. After experimental verification, the actual heart rates of the 10 subjects were 76, 80, 79, 83, 72, 81, 77, 71, 72, and 78, respectively. The data measured using Internet of Things based algorithms were 75, 80, 80, 83, 73, 81, 78, 71, 72, and 77, respectively. Based on this, it could be concluded that the measured values of the algorithm were very close to the actual values, indicating that the algorithm had quite accurate heart rate measurement ability. Therefore, the sports rehabilitation medical testing system constructed by applying this algorithm had strong and accurate data measurement performance.