Design a Monitoring Device for Heart-Attack Early Detection Based on Respiration Rate and Body Temperature Parameters

  • Isna Fatimatuz Zahra Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya
  • I Dewa Gede Hari Wisana
  • Priyambada Cahya Nugraha
  • Hayder J Hassaballah Department of Medical Instrumentation Engineering Techniques, College of Electrical Engineering Technique, Middle Technical University, Iraq, Baghdad
Keywords: heart attack, respiration, temperature, wireless, ESP32 microcontroller


Acute myocardial infarction, commonly referred to as a heart attack, is the most common cause of sudden death where a monitoring tool is needed that is equipped with a system that can notify doctors to take immediate action. The purpose of this study was to design a heart attack detection device through indicators of vital human signs. The contribution of this research is that the system works in real-time, has more parameters, uses wireless, and is equipped with a system to detect indications of a heart attack. In order for wireless monitoring to be carried out in real-time and supported by a detection system, this design uses a radio frequency module as data transmission and uses a warning system that is used for detection. Respiration rate was measured using the piezoelectric sensor, and body temperature was measured using the DS18B20 temperature sensor. Processing of sensor data is done with ESP32, which is displayed wirelessly by the HC-12 module on the PC. If an indication of a heart attack is detected in the parameter value, the tool will activate a notification on the PC. In every indication of a heart attack, it was found that this design can provide notification properly. The results showed that the largest respiratory error value was 4%, and the largest body temperature error value was 0.55%. The results of this study can be implemented in patients who have been diagnosed with heart attack disease so that it can facilitate monitoring the patient's condition.


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C. A. Alexander and L. Wang, "Big Data Analytics in Heart Attack Prediction," J. Nurs. Care, vol. 6, no. 2, pp. 2167–1168, 2017, doi: 10.4172/2167-1168.1000393.

G. A. Mensah, G. A. Roth, and V. Fuster, "The Global Burden of Cardiovascular Diseases and Risk Factors," J. Am. Coll. Cardiol., vol. 74, no. 20, pp. 2529 LP – 2532, Nov. 2019, doi: 10.1016/j.jacc.2019.10.009.


I. Prayogo, R. Alfita, and K. A. Wibisono, “Sistem Monitoring Denyut Jantung Dan Suhu Tubuh Sebagai Indikator Level Kesehatan Pasien Berbasis IoT ( Internet Of Thing ) Dengan Metode Fuzzy Logic Menggunakan Android,” J. Tek. Elektro dan Komput. TRIAC, vol. 4, no. 2, 2017, doi: 10.21107/triac.v4i2.3257.

S. A. Miyagi, M. R. Mak'ruf, and T. Das, "Design of Respiration Rate Meter Using Flexible Sensor," J. Electron. Electromed. Eng. Med. Informatics, vol. 2, no. 1 SE-Articles, Jan. 2020, doi: 10.35882/jeeemi.v2i1.3.

Z. O. Abu-faraj et al., "Design and Development of a Heart-Attack Detection Steering Wheel," no. Bmei, pp. 11–16, 2018, doi: 10.1109/CISP-BMEI.2018.8633210.

Y. Kukus, W. Supit, and F. Lintong, “Suhu Tubuh: Homeostasis Dan Efek Terhadap Kinerja Tubuh Manusia,” J. Biomedik, vol. 1, no. 2, 2013, doi: 10.35790/jbm.1.2.2009.824.

O. J. Mechanic and S. A. Grossman, Myocardial Infarction, Acute. StatPearls Publishing, 2018.

A. Putot, F. Chague, P. Manckoundia, Y. Cottin, and M. Zeller, "Post-Infectious Myocardial Infarction: New Insights for Improved Screening," J. Clin. Med., vol. 8, no. 6, p. 827, Jun. 2019, doi: 10.3390/jcm8060827.

T. P. Ilczak, "Predictive factors for myocardial infarction in pre- hospital emergency care," pp. 1–10, 2020, doi: 10.21203/rs.2.20471/v1.

A. A. Solichin, I. D. G. H. Wisana, and D. H. Andayani, “Monitoring detak jantung, suhu tubuh, dan respirasi berbasis telemedicine via android,” 2018.

R. A. Prayugo, E. D. Setioningsih, and Sumber, “Monitoring BPM, Suhu dan Respirasi Tampil PC via Bloetooth dan Pengiriman Data via SMS,” 2018.

P. Sasidharan, T. Rajalakshmi, and U. Snekhalatha, "Wearable Cardiorespiratory Monitoring Device for Heart Attack Prediction," in 2019 International Conference on Communication and Signal Processing (ICCSP), 2019, pp. 54–57.

N. Shankar and K. Sankar, "Measurement of Respiratory Rate Using Peizoelectric sensor," Int. J. Sci. Res. Rev., vol. 7, no. 1, pp. 184–188, 2018.

G. A. M. Oka and A. Pudji, "Design of Vital Sign Monitor with ECG, BPM, and Respiration Rate Parameters," Indones. J. Electron. Electromed. Eng. Med. informatics, vol. 3, no. 1 SE-Articles, Feb. 2021, doi: 10.35882/ijeeemi.v3i1.6.

L. Leicht, P. Vetter, S. Leonhardt, and D. Teichmann, "The PhysioBelt: A safety belt integrated sensor system for heart activity and respiration," in 2017 IEEE International Conference on Vehicular Electronics and Safety (ICVES), 2017, pp. 191–195.

A. Singh and A. Chaudhary, "Real Time Respiration Rate Measurement Using Temperature Sensor," Int. J. Recent Innov. Trends Comput. Commun., vol. 5, no. 6, pp. 605–607, 2017.

O. Manzombi, E. M. Dogo, and N. I. Nwulu, "Design and Implementation of a Wireless Patient Health Monitoring System," 2019 Int. Artif. Intell. Data Process. Symp., pp. 1–6.

H. Hassaballah and R. Fayadh, "Implementation of wireless sensor network for medical applications," IOP Conf. Ser. Mater. Sci. Eng., vol. 745, p. 12089, Mar. 2020, doi: 10.1088/1757-899X/745/1/012089.

M. Noushad, B. Tauheed, S. A. Khan, and M. A. Khan, "Wireless monitoring of temperature and humidity using sensor array," in 2015 Annual IEEE India Conference (INDICON), 2015, pp. 1–5, doi: 10.1109/INDICON.2015.7443479.

H. Ouldzira, A. Mouhsen, H. Lagraini, A. Tabyaoui, and M. Chhiba, "Smart monitoring information system based on RF 433 Mhz ( SMIS )," vol. 9, no. 6, pp. 5143–5149, 2019, doi: 10.11591/ijece.v9i6.pp5143-5149.

How to Cite
I. Zahra, I. D. Wisana, P. Nugraha, and H. J. Hassaballah, “Design a Monitoring Device for Heart-Attack Early Detection Based on Respiration Rate and Body Temperature Parameters”, ijeeemi, vol. 3, no. 3, pp. 114-120, Aug. 2021.