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IoT and Big Data Technologies for Health Care. Third EAI International Conference, IoTCare 2022, Virtual Event, December 12-13, 2022, Proceedings

Research Article

Design of Telemedicine and Health Care System Based on Embedded Technology

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-33545-7_16,
        author={Shufeng Zhuo and Yi Hu and Xinyao Liu and Zixiu Zou},
        title={Design of Telemedicine and Health Care System Based on Embedded Technology},
        proceedings={IoT and Big Data Technologies for Health Care. Third EAI International Conference, IoTCare 2022, Virtual Event, December 12-13, 2022, Proceedings},
        proceedings_a={IOTCARE},
        year={2023},
        month={5},
        keywords={Embedded Technology Telemedicine Health Care System Monitoring Network End Server Encryption Algorithm},
        doi={10.1007/978-3-031-33545-7_16}
    }
    
  • Shufeng Zhuo
    Yi Hu
    Xinyao Liu
    Zixiu Zou
    Year: 2023
    Design of Telemedicine and Health Care System Based on Embedded Technology
    IOTCARE
    Springer
    DOI: 10.1007/978-3-031-33545-7_16
Shufeng Zhuo1, Yi Hu2, Xinyao Liu3, Zixiu Zou4,*
  • 1: The Internet of Things and Artificial Intelligence College, Fujian Polytechnic of Information Technology
  • 2: Henan Information Engineering School
  • 3: Imperial Vision Technology Company Limited
  • 4: Fuzhou Institute of Technology
*Contact email: 55607@qq.com

Abstract

In order to improve the monitoring accuracy of physiological parameters and the effect of telemedicine, a new telemedicine and health care system based on embedded technology was designed. Use the embedded server to realize the information interaction between the client and the Web server. Send data to the server through the monitoring network terminal, and use the data acquisition module to obtain two parts of the data of the blood pressure module and the blood oxygen module. Monitor physiological signals with embedded monitors. Use embedded technology to search for telemedicine information, and combine encryption algorithms to encrypt the information. Calculate the distance between the monitoring signal to be authenticated sent by the embedded server and the storage database to ensure the safe transmission of the signal and avoid external interference, thus completing the design of the remote medical care system. It can be seen from the experimental results that the blood pressure fluctuation range monitored by the system is 100mmHg-160mmHg, the maximum error between the blood oxygen measurement value and the actual data is only 1%, and the pulse rate data is consistent with the actual data, indicating that the monitoring results using this system are accurate, the practical application effect is good.

Keywords
Embedded Technology Telemedicine Health Care System Monitoring Network End Server Encryption Algorithm
Published
2023-05-24
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-33545-7_16
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