Wearable Sports Rehabilitation Monitoring System Based on Big Data Technology
Huantong Xu · Procedia Computer Science · 2024
At present, the aging of the population and the increase of health problems caused by lifestyle, sports rehabilitation has become an important means to improve the quality of life and restore physical function. However, traditional rehabilitation methods often rely on rehabilitation centers or hospitals, which are not only costly, but also greatly reduce the efficiency and accessibility of rehabilitation due to time and space limitations. The rapid development of wearable technology and big data analysis technology provides the possibility for real-time, accurate and personalized rehabilitation monitoring. Therefore, this paper focuses on the architecture and design of wearable sports rehabilitation monitoring system based on big data technology, and explains in detail sensor data acquisition and processing analysis, cloud computing and data storage, as well as user interface and interaction design. Finally, the results of two groups of simulation experiments are as follows: the accuracy rate of sports rehabilitation data increases by 11.9%, and the rehabilitation effect increases by about 20.8% on average. Through long-term data collection, the system helps researchers and doctors better understand the complex dynamics of the rehabilitation process, providing a scientific basis for future rehabilitation methods.