Monitoring Heart Rate Variability Based on Self-powered ECG Sensor Tag

Authors

  • Nhat Minh Tran Department of Telecommunication, Sai Gon University, Vietnam
  • Ngoc-Giao Pham Department of Computing Fundamentals, FPT University, Hanoi, Vietnam
  • Thang Viet Tran Department of Science and Technology, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam

DOI:

https://doi.org/10.30564/jeis.v4i2.5225

Abstract

This paper proposes a batteryless sensing and computational device to collect and process electrocardiography (ECG) signals for monitoring heart rate variability (HRV). The proposed system comprises of a passive UHF radio frequency identification (RFID) tag, an extreme low power microcontroller, a low-power ECG circuit, and a radio frequency (RF) energy harvester. The microcontroller and ECG circuits consume less power of only ~30 µA and ~3 mA, respectively. Therefore, the proposed RF harvester operating at frequency band of 902 MHz ~ 928 MHz can sufficiently collect available energy from the RFID reader to supply power to the system within a maximum distance of ~2 m. To extract R-peak of the ECG signal, a robust algorithm that consumes less time processing is also developed. The information of R-peaks is stored into an Electronic Product Code (EPC) Class 1st Generation 1st compliant ID of the tag and read by the reader. This reader is functioned to collected the R-peak data with sampling rate of 100ms; therefore, the user application can monitor fully range of HRV. The performance of the proposed system shows that this study can provide a good solution in paving the way to new classes of healthcare applications.

Keywords:

Batteryless ECG sensor; Heart rate monitoring; UHF RFID

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How to Cite

Tran, N. M., Pham, N.-G., & Tran, T. V. (2022). Monitoring Heart Rate Variability Based on Self-powered ECG Sensor Tag. Journal of Electronic & Information Systems, 4(2), 10–20. https://doi.org/10.30564/jeis.v4i2.5225

Issue

Vol. 4 , Iss. 2 (October 2022): Special Issue

Article Type

Article

License

Copyright © 2022 Author(s)

Creative Commons License

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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