phat 22(31): 4

Research Article

A remote consultation system for sports injury based on wireless sensor network

Download179 downloads
  • @ARTICLE{10.4108/eetpht.v8i31.701,
        author={Hongming Guo and Ting Yang},
        title={A remote consultation system for sports injury based on wireless sensor network},
        journal={EAI Endorsed Transactions on Pervasive Health and Technology},
        keywords={Wireless sensor network, Sports injury, Remote consultation system, Physiological signals, Wireless communication module, Body area network},
  • Hongming Guo
    Ting Yang
    Year: 2022
    A remote consultation system for sports injury based on wireless sensor network
    DOI: 10.4108/eetpht.v8i31.701
Hongming Guo1, Ting Yang2,*
  • 1: Wuxi Vocational Institute of Commerce
  • 2: Inner Mongolia Agricultural University, Hohhot 010018, China
*Contact email:


INTRODUCTION: Although current research methods can realize the effective collection of human physiological signals in the health monitoring system, they cannot obtain the ideal detection effect due to the influence of the communication performance in the health monitoring system. OBJECTIVES: In order to improve the monitoring performance of remote consultation, a sports injury remote consultation system based on wireless sensor network is designed. METHODS: The wearable sensors is used in the body area network to collect human physiological signals. Through the wireless sensor network of the wireless communication module, the collected human physiological signals are transmitted to the remote consultation module. The wireless communication module selects CC2530 chip as the core chip of the wireless communication module. A fixed partition routing algorithm based on energy balance is used to stably transmit human physiological signals. RESULTS: The consultation personnel of the remote consultation module make a sports injury consultation judgment based on the received physiological signal results of the human body. The system test results show that the designed system can accurately monitor various physiological indicators of the human body. The wireless sensor network energy consumption of the system in this paper is all less than 500J, the energy consumption variance of the cluster head is less than 4×10-3, and the number of surviving nodes can be guaranteed to be higher than 130. It has high communication performance of wireless sensor network. CONCLUSION: The system can accurately judge whether there is a sports injury according to the monitoring results of physiological indicators, and realize the effective consultation of sports injury.