• Nguyen Hong Quang Hanoi University of Science and Technology
  • Trinh Van Loan Hanoi University of Science and Technology
  • Pham Quang Hien Faculty of Information Technology, Hanoi Vocational College of High Technology
  • Dao Thi Le Thuy University of Transport and Communication
  • Nguyen Dinh Tu Hanoi University of Science and Technology
Keywords: Electrocardiograph, heart rate sensor, Arduino Uno R3, Module Bluetooth HC-05


This paper describes a method to develop a system on the Android platform to monitor and alert the cardiovascular condition of the human body. The system uses heart rate sensor to measure electrocardiographic signals, Arduino Uno R3 circuit to control reception of ECG signals and transmit ECG signals to mobile devices via Bluetooth module HC-05. Our Android application on mobile devices allows users to manage personal information, measure, store and display ECG signals. The application also has the function of performing measurement data statistics in graphical form.


S. Sarkar, D. Ritscher, R. Mehra, A detector for a chronic implantable atrial tachyarrhythmia monitor, IEEE Trans Biomed Eng, 2008, 55 (3), pp. 1219–1224.

Q. Li, C.Y. Liu, J. Oster, G.D. Clifford. Signal processing and feature selection preprocessing for classification in noisy healthcare data. In: Machine Learning for Healthcare Technologies. ed D.A. Clifton (London: The Institution of Engineering and Technology, 2016), pp. 33-58.

Selder, J. L., et al. “A mobile one-lead ECG device incorporated in a symptom-driven remote arrhythmia monitoring program. The first 5,982 Hartwacht ECGs.” Netherlands Heart Journal, 2019, 27.1, pp. 38-45.

Application “Heart rate measurement”, https://play.google.com/store/apps/details?id=com.dungelin.heartrate, 2019.

Using Auto Heart Rate Monitoring, Samsung smart watch, https://www.samsung.com/uk/wearables/galaxy-watch-need-to-knows/tracking-your-wellbeing/heart-rate-monitoring/, 2019.

Check your heart rate on Apple Watch, https://support.apple.com/vi-vn/guide/watch/apda88aefe4c/watchos. 2019.

The “Getting Started Project”, https://pulsesensor.com/pages/code-and-guide, PulseSensor, 2019.

Monk, Simon. “Programming Arduino: Getting Started with Sketches, (Tab).” McGraw-Hill Education TAB, 2016.

Kester, Walt, and Analog Devices Inc Engineeri. Data conversion handbook. Newnes, 2005.

Chowdhury, Muhammad EH, et al. “Wearable real-time heart attack detection and warning system to reduce road accidents.” Sensors, 19.12, 2019, 2780.

Sahoo, Prasan Kumar, Hiren Kumar Thakkar, and Ming-Yih Lee. “A cardiac early warning system with multi channel SCG and ECG monitoring for mobile health.” Sensors, 17.4, 2017, 711.

Quy V.K., Ban N.T., Han N.D., “A multi-metric Routing Protocol to Improve the Achievable Performance of Mobile Ad Hoc Networks,” SCI, vol 769, 2018. Springer.

N. D. Tan and N. Dinh Viet, “SCBC: Sector-chain based clustering routing protocol for energy efficiency in heterogeneous wireless sensor network,” 2015 International Conference on Advanced Technologies for Communications (ATC), Ho Chi Minh City, 2015, pp. 314-319; doi: 10.1109/ATC.2015.7388341.

Nguyen Duy Tan and Nguyen Dinh Viet, “SSTBC: Sleep scheduled and tree-based clustering routing protocol for energy-efficient in wireless sensor networks,” The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF), Can Tho, 2015, pp. 180-185; doi: 10.1109/RIVF.2015.7049896.

How to Cite
Nguyen Hong Quang, Trinh Van Loan, Pham Quang Hien, Dao Thi Le Thuy, & Nguyen Dinh Tu. (2020). BUIDING A CARDIOVASCULAR MONITORING AND WARNING SYSTEM. UTEHY Journal of Science and Technology, 27, 98-104. Retrieved from http://tapchi.utehy.edu.vn/index.php/jst/article/view/396