Application of Internet of Things in Sports Rehabilitation for Young People
Abstract
Based on the background of sports rehabilitation training, this paper applies Internet of things technology to the sports rehabilitation of teenagers. By developing sensory sensors to monitor sensor terminal nodes, according to the needs of physiological parameters monitoring during rehabilitation training, the parameters of the monitoring system including ECG signal, EMG signal, exercise posture and body temperature were established based on the Internet of things technology. The experimental results show that the system can monitor the changes of the target user's vital signs in real time and provide feedback. These physiological data can be analyzed to help physicians develop effective rehabilitation training programs. To evaluate the recovery of sports ability and training participation, so as to improve the training efficiency and achieve the rehabilitation effect.
References
1. White paper on the economic and social impact of 5G by China Academy of Information and communication [EB/Ol]. [2019-06-15]. Http://www.199it.com/archives/602110.html
2. Tung Yiu-wah, etc. Internet of things technology and applications [M]. Shanghai: Shanghai Scientific and Technical Publishers, 2012.
3. Wang Beibei, Xu Peng, Zhao Shengnan, etc. . Business Extension and thinking of intelligent energy integrated service based on“Internet +”[J]. Power system automation. 2020(4): 1-12.
4. Lui Ying. Four new challenges to data security [J]. Computers and networks, 2020(5): 48-49. [5] Guo Dandan. Research on security control technology of network information transmission in Internet of things [J]. Infocomm, 2020(2): 182-184.
5. Guo Ling. Innovating scientific and technological means to enrich the mode of sports broadcasting [J]. Modern television technology, 2018(4) : 52-54
6. Xiong jinting, Li Meng, Zhang Xinmei. Wearable Sports Health Monitoring system based on Internet of things [J]. Electronic Technology and software engineering, 2018(2) : 17 -20.
7. Xu Tengda, Guo Lu, Su Shaorong. Management effect of intelligent health internet of things (iot) system on therapeutic lifestyle changes of people with dyslipidemia [J]. Concord Medical Journal, 2018(1): 32-36.
