An Implementation of a Single Board Computer as a Home Vital Sign Monitoring System Using a Raspberry-Pi

Ernia Susana; Indah Nursyamsi Handayani; Agus Komarudin

doi:10.62146/ijecbe.v1i2.29

Authors

Ernia Susana Poltekkes Kemenkes Jakarta II
Indah Nursyamsi Handayani Department of Electromedical Engineering Poltekkes Kemenkes Jakarta II
Agus Komarudin Department of Electromedical Engineering Poltekkes Kemenkes Jakarta II

DOI:

https://doi.org/10.62146/ijecbe.v1i2.29

Keywords:

vital-sign monitor, home-care, single board computer, raspberry-Pi, diagnostic

Abstract

Health monitoring and related technologies are a growing area of research. The embedded technology enables designing and manufacturing a single board computer (SBC) based vital signs monitoring system prototype. This study aims to develop and test an equipped with a monitor of vital signs, including electrocardiogram, heart rate (HR), respiratory rate (RR), and body temperature. The results showed that the prototype could work well, all parameters could be displayed on the 7" TFT touch screen, and the operation used Bahasa instructions. Qualitative test results show all the parts and the function is working correctly. Quantitative heart rate test results show an accuracy of 95% with a range of 30-200 bpm and 93% for the temperature parameter.

References

B. Wulandari and M. P. Jati, "Design and Implementation of RealTime Health Vital Sign Monitoring Device with Wireless Sensor-based on Arduino Mega," Elinvo (Electronics, Informatics, and Vocational Education), vol. 6, no. 1, pp. 61-70, 2021, doi: 10.21831/elinvo.v6i1.43799.

G. A. M. Oka, A. Pudji, M. R. Mak’ruf, and E. Yulianto, "Design of Vital Sign Monitor with ECG, BPM, and Respiration Rate Parameters," Indonesian Journal of Electronics, Electromedical, and Medical Informatics (IJEEEMI), vol. 3, no. 1, pp. 34-38, 2021, doi: 10. 35882/ijeeemi.v3i1.6

S. Hadiyoso, R. Tulloh, Y. S. Rohmah, and A. Alfaruq, "Design and Development Armband Vital Sign Monitor for Health-Care Monitoring," J Med Signals Sens, vol. 11, no. 3, pp. 208-216, Jul-Sep 2021, doi: 10.4103/jmss.JMSS_29_20.

A. Monetra, M. H. H. Ichsan, and R. Maulana, "Perancangan Sistem Monitoring Tanda Vital Pada Tubuh Manusia Secara Real Time Dengan Tampilan Desktop," Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 5, no. 1, pp. 79-87, 2021. [Online]. Available: https://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/8386.

B. Massot, C. Gehin, R. Nocua, A. Dittmar, and E. McAdams, "A wearable, low-power, health-monitoring instrumentation based on a Programmable System-on-Chip," presented at the 31st Annual International Conference of the IEEE EMBS Minneapolis, Minnesota, USA, September 2-6, 2009, September 2-6, 2009, 2009. [Online]. Available: https://pubmed.ncbi.nlm.nih.gov/19963864/.

S. Misbahuddin, M. M. Ibrahim, A. M. Alnajar, B. Q. Alolabi, and A. F. Ammar, "Automatic Patients' Vital Sign Monitoring by Single Board Computer (SBC) Based MPI Cluster," presented at the 2019 2nd International Conference on Computer Applications & Information Security (ICCAIS), 2019. [Online]. Available: https://ieeexplore.ieee.org/document/8769551.

I. Kostouros, D. Kottou, and D. Papakyriakou, "Benchmarking Raspberry Pi 2 Beowulf Cluster," International Journal of Computer Applications, vol. 179, no. 32, pp. 21-27, 2018, doi: 10.5120/ijca2018916728.

M. Koshti and P. D. S. Ganorkar, "IoT Based Health Monitoring System by Using Raspberry Pi and ECG Signal," International Journal of Innovative Research in Science, Engineering and Technology, vol. 5, no. 5, pp. 8977-8985, 2016, doi: 10.15680/IJIRSET.2016.0505337.

V. Petkar, V. Pardeshi, S. Murmurwar, and S. Sagar, "Raspberry-Pi and IoT based Health Monitoring System," Journal of Signal Processing, vol. 3, no. 1, pp. 1-6, 2017. [Online]. Available: https://core.ac.uk/download/pdf/230490908.pdf.

A. Ramezani, "An Implementation of Embedded Software for Real Time Monitoring of Bioimpedance," Magister The Department of Electrical & Computer Engineering, University of Alabama HUNTSVILLE, ALABAMA, 2021. [Online]. Available: https://www.researchgate.net/publication/351607299_An_Implementation_of_Embedded_Software_for_Real_Time_Monitoring_of_Bioimpedance

A. Rahman, T. Rahman, N. H. Ghani, S. Hossain, and J. Uddin, "IoT Based Patient Monitoring System Using ECG Sensor," presented at the 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), 2011