Internet of Things Heart Rate Monitoring Based on Wireless Sensor Networks in Swimming Training Health Prevention Simulation

Abstract

With the rapid development of Internet of Things (IoT) technology, the application of wireless sensor networks in the field of health monitoring has attracted increasing attention. Especially in swimming training, monitoring athletes’ heart rate changes is of great significance to prevent sports injuries and optimize training programs. This study aims to build a heart rate monitoring system based on wireless sensor network to monitor the heart rate of swimmers in real time, so as to provide scientific basis for health prevention and improve the training effect. In this paper, a wireless sensor network system is designed, which is composed of several heart rate sensors and receiving devices, and uses Bluetooth low power technology to realize data transmission. The heart rate sensor is fixed to the athlete’s swimsuit for stable operation in the water. Through the data acquisition module, the heart rate data is acquired in real time and sent to the central processing unit for analysis. The cloud computing platform is used to store and process data, so that coaches and athletes can get training feedback at any time. By analyzing the collected data, it is found that the influence of different swimming styles on the heart rate is significantly different. By monitoring the trend of heart rate change, the fatigue state of athletes can be identified in time and provide reference for training adjustment.