Elinvo (Electronics, Informatics, and Vocational Education)

Document Type



This paper discusses the realization of vital sign monitoring devices and knowing their performance. This device is expected to assist medical personnel in measuring and monitoring vital signs without having to have physical contact with patients. The design phase of the patient's vital sign monitoring device with an Arduino Mega-based wireless sensor starts from the identification, needs analysis, design, manufacture, troubleshoot, and testing. Arduino Mega and ESP8266 as the main components that function for the controller and upload data to the server. Then MAX30100, DS18B20, and MPX5700AP sensors which function to detect the vital sign. Android smartphones are used to display measurement results in real-time, save and display vital sign data records. Based on the test results, the patient's vital signs monitoring device has an average difference of 0.67% for temperature checks, 1.19% for pulse checks, 0.77% for SPO2 examinations, 4.78%, and 8.91% for systolic and diastolic blood pressure examinations.

First Page


Last Page


Page Range






Digital Object Identifier (DOI)





H. Abuella and S. Ekin, “Non-Contact Vital Signs Monitoring through Visible Light Sensing,” IEEE Sens. J., vol. 20, no. 7, pp. 3859–3870, 2020, doi: 10.1109/JSEN.2019.2960194.

Z. Alaseel and D. Debnath, “Vital Signs Monitoring System in Cloud Environment,” in IEEE International Conference on Electro Information Technology, 2018, pp. 73–78, doi: 10.1109/EIT.2018.8500304.

S. P. McGrath, I. M. Perreard, M. D. Garland, K. A. Converse, and T. A. Mackenzie, “Improving Patient Safety and Clinician Workflow in the General Care Setting With Enhanced Surveillance Monitoring,” IEEE J. Biomed. Heal. Informatics, vol. 23, no. 2, pp. 857–866, 2019, doi: 10.1109/JBHI.2018.2834863.

X. Wang, C. Yang, and S. Mao, “PhaseBeat: Exploiting CSI Phase Data for Vital Sign Monitoring with Commodity WiFi Devices,” in International Conference on Distributed Computing Systems, 2017, pp. 1230–1239, doi: 10.1109/ICDCS.2017.206.

N. Q. Al-Naggar, H. M. Al-Hammadi, A. M. Al-Fusail, and Z. A. Al-Shaebi, “Design of a Remote Real-Time Monitoring System for Multiple Physiological Parameters Based on Smartphone,” J. Healthc. Eng., vol. 2019, 2019, doi: 10.1155/2019/5674673.

C. Zhan, C. K. Tse, Y. Gao, and T. Hao, “Comparative Study of COVID-19 Pandemic Progressions in 175 Regions in Australia, Canada, Italy, Japan, Spain, U.K. And USA Using a Novel Model That Considers Testing Capacity and Deficiency in Confirming Infected Cases,” IEEE J. Biomed. Heal. Informatics, vol. 25, no. 8, pp. 2836–2847, 2021, doi: 10.1109/JBHI.2021.3089577.

M. Berquedich, A. Berquedich, O. Kamach, M. Masmoudi, A. Chebbak, and L. Deshayes, “Developing a Mobile COVID-19 Prototype Management Application Integrated with an Electronic Health Record for Effective Management in Hospitals,” IEEE Eng. Manag. Rev., vol. 48, no. 4, pp. 55–64, 2020, doi: 10.1109/EMR.2020.3032943.

W. Tan and J. Liu, “Application of Face Recognition in Tracing COVID-19 Fever Patients and Close Contacts,” in IEEE International Conference on Machine Learning and Applications (ICMLA), 2020, pp. 1112–1116, doi: 10.1109/ICMLA51294.2020.00179.

A. Zafia, “Prototype Alat Monitoring Vital Sign Pasien Rawat Inap Menggunakan Wireless Sensor Sebagai Upaya Physical Distancing menghadapi Covid-19,” J. Informatics, Inf. Syst. Softw. Eng. Appl., vol. 2, no. 2, pp. 61–68, 2020, doi: 10.20895/inista.v2i2.126.

M. Shu, M. Tang, M. Yang, and N. Wei, “The vital signs real-time monitoring system based on Internet of things,” in International Conference on Information Science and Control Engineering (ICISCE), 2017, pp. 747–751, doi: 10.1109/ICISCE.2017.160.

D. Naufal, A. W. Setiawan, and T. L. E. Rajab, “Blood Pressure Measuring Device Based on Korotkoff Sound’s Tapping Period and Frequency Detection,” in International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems (ISITIA), 2020, pp. 158–163, doi: 10.1109/ISITIA49792.2020.9163700.

L. Goswami and P. Agrawal, “IoT based Diagnosing of Fault Detection in Power Line Transmission through GOOGLE Firebase Database,” in International Conference on Trends in Electronics and Informatics (ICOEI), 2020, pp. 415–420.

M. P. Jati, G. Basuki, and H. Hasnira, “Kendali Fuzzy Logic - Interleaved Boost Converter pada Aplikasi Motor DC,” Elinvo (Electronics, Informatics, Vocat. Educ., vol. 5, no. November, pp. 1–9, 2021, doi: 10.21831/elinvo.v5i2.40698.

Included in

Biomedical Commons