phat 22(3): 1

Research Article

Design of remote injury diagnosis system for Wushu competition based on wireless sensor network

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  • @ARTICLE{10.4108/eetpht.v8i3.686,
        author={Chunguang Pan},
        title={Design of remote injury diagnosis system for Wushu competition based on wireless sensor network},
        journal={EAI Endorsed Transactions on Pervasive Health and Technology},
        volume={8},
        number={3},
        publisher={EAI},
        journal_a={PHAT},
        year={2022},
        month={7},
        keywords={Wireless sensor network, Remote Wushu competition, Injury diagnosis system, Support vector machine, ECG sensor, Temperature sensor},
        doi={10.4108/eetpht.v8i3.686}
    }
    
  • Chunguang Pan
    Year: 2022
    Design of remote injury diagnosis system for Wushu competition based on wireless sensor network
    PHAT
    EAI
    DOI: 10.4108/eetpht.v8i3.686
Chunguang Pan1,*
  • 1: College of Physical Education, Wuchang Institute of Technology, Wuhan 430065, China
*Contact email: guoning0361@mail.hzau.edu.cn

Abstract

INTRODUCTION: In this paper, a remote injury diagnosis system for Wushu competition based on wireless sensor network is designed to improve the safety of athletes in the process of Wushu competition. OBJECTIVES: Improve the safety of athletes during martial arts competitions. METHODS: The pulse sensor, temperature sensor and ECG sensor are set as the terminal nodes of the remote injury diagnosis system for Wushu competition. The physiological parameters of athletes in Wushu competition are collected by the sensor, and the collected parameters are transmitted to the wireless RF module. The wireless RF module uses the wireless sensor network to realize the wireless communication of various parameter data through the routing node and terminal node, and transmits the data to the remote diagnosis module. The remote diagnosis module uses the collected physiological parameters of athletes to realize the remote diagnosis of injury in Wushu competition through particle swarm optimization-support vector machine diagnosis model. RESULTS: The experimental results show that the designed system can remotely collect the physiological parameters of athletes in Wushu competition, and remotely diagnose the injury of Wushu competition according to the collected data, and the diagnosis accuracy is as high as 99%. CONCLUSION: It has good safety performance and is of practical significance.