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RFID Positioning and Physiological Signals for Remote Medical Care

Wen-Tsai Sung1, Sung-Jung Hsiao2,*

1 Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung, 411030, Taiwan
2 Department of Information Technology, Takming University of Science and Technology, Taipei City, 11451, Taiwan

* Corresponding Author: Sung-Jung Hsiao. Email: email

Computer Systems Science and Engineering 2022, 41(1), 289-304.


The safety of patients and the quality of medical care provided to them are vital for their wellbeing. This study establishes a set of RFID (Radio Frequency Identification)-based systems of patient care based on physiological signals in the pursuit of a remote medical care system. The RFID-based positioning system allows medical staff to continuously observe the patient's health and location. The staff can thus respond to medical emergencies in time and appropriately care for the patient. When the COVID-19 pandemic broke out, the proposed system was used to provide timely information on the location and body temperature of patients who had been screened for the disease. The results of experiments and comparative analyses show that the proposed system is superior to competing systems in use. The use of remote monitoring technology makes user interface easier to provide high-quality medical services to remote areas with sparse populations, and enables better care of the elderly and patients with mobility issues. It can be found from the experiments of this research that the accuracy of the position sensor and the ability of package delivery are the best among the other related studies. The presentation of the graphical interface is also the most cordial among human-computer interaction and the operation is simple and clear.


Cite This Article

APA Style
Sung, W., Hsiao, S. (2022). RFID positioning and physiological signals for remote medical care. Computer Systems Science and Engineering, 41(1), 289-304.
Vancouver Style
Sung W, Hsiao S. RFID positioning and physiological signals for remote medical care. Comput Syst Sci Eng. 2022;41(1):289-304
IEEE Style
W. Sung and S. Hsiao, "RFID Positioning and Physiological Signals for Remote Medical Care," Comput. Syst. Sci. Eng., vol. 41, no. 1, pp. 289-304. 2022.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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