Development of an Internet of Things Based Heart Rate Monitoring System

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Abstract:

Heart diseases are one of the leading causes of death worldwide. Therefore, there is the need for a device that can track the heart performance to provide insights on those conditions such as abnormal heart rates which require urgent medical attention and can result in loss of life. This work developed an internet of things (IoT) based heart rate monitoring system. The key components of the system developed include a pulse sensor (SEN-11574), an arduino uno microcontroller, a liquid crystal display (LCD) module, ESP-8266 Wi-Fi module, 18650 batteries and light emitting diodes (LEDs). Using appropriate design models and relevant mathematical algorithms, circuit designs were accomplished with a microcontroller as the central component. A wireless data transmission unit was created using ESP-8266 Wi-Fi module and Thingspeak platform. Performance test was carried out on each of the subunits of the developed system. Heart rate measurement test was conducted on thirty (30) people and compared with the measurements from an existing heart rate monitor (Apple watch series 7) to determine the reading error of the device. The results of the performance test showed that the developed system operated as intended. The device’s reading error was 3.11% for readings obtained while at rest and 3.89% for readings obtained after exercise. The test results also showed that there was unusual rising of the pulse rate after exercise; causing random beat per minute values. The developed system could be deployed for remote health monitoring applications in personal residences, hospitals, health centres and rural areas.

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Engineering Headway (Volume 33)

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221-235

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February 2026

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© 2026 Trans Tech Publications Ltd. All Rights Reserved

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[1] A.M. Catai, C.M. Pastre, M.F. de Godoy, E. da Silva, A.C. de Medeiros-Takahashi and L.C.M. Vanderlei, Heart rate variability: are you using it properly? Standardisation checklist of procedures, Braz. J. Phys. Ther. 24(2) (2020) 91–102.

DOI: 10.1016/j.bjpt.2019.02.006

Google Scholar

[2] G. Quer, P. Gouda, M. Galarnyk, E.J. Topol and S.R. Steinhubl, Inter- and intra-individual variability in daily resting heart rate and its associations with age, sex, sleep, bmi, and time of year: retrospective, longitudinal cohort study of 92,457 adults, PloS One. 15(2) (2020) e0227709.

DOI: 10.1371/journal.pone.0227709

Google Scholar

[3] R. Tiwari, R. Kumar, S. Malik, T. Raj and P. Kumar, Analysis of heart rate variability and implication of different factors on heart rate variability, Curr. Cardiol. Rev. 17(5) (2021) e160721189770.

DOI: 10.2174/1573403x16999201231203854

Google Scholar

[4] W.N. Mratbaevna and S. Farrux, The structure of the heart and its physiology in regular athletes, ACADEMICIA: An International Multidisciplinary Research Journal. 13(8) (2023) 41–46.

DOI: 10.5958/2249-7137.2023.00079.4

Google Scholar

[5] A. Selzer, Understanding heart disease, University of California Press, (2023).

Google Scholar

[6] G.A. Roth, G.A. Mensah and V. Fuster, The global burden of cardiovascular diseases and risks: A compass for global action, J Am Coll Cardiol. 76(25) (2020) 2980–2981.

DOI: 10.1016/j.jacc.2020.11.021

Google Scholar

[7] M. Vaduganathan, G.A. Mensah, J.V. Turco, V. Fuster and G.A. Roth, The global burden of cardiovascular diseases and risk: A compass for future health, J Am Coll Cardiol. 80(25) (2022) 2361–2371.

DOI: 10.1016/j.jacc.2022.11.005

Google Scholar

[8] World Health Organization, Cardiovascular diseases (CVDs). (2021). Retrieved from: https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds).

Google Scholar

[9] G.A. Roth, G.A. Mensah, C.O. Johnson, G. Addolorato, E. Ammirati, L.M. Baddour, N.C. Barengo, A.Z. Beaton, E.J. Benjamin, C.P. Benziger, A. Bonny, M. Brauer, M. Brodmann, T.J. Cahill, J. Carapetis, A.L. Catapano, S.S. Chugh, L.T. Cooper, J. Coresh, … GBD-NHLBI-JACC global burden of cardiovascular diseases writing group, Global Burden of cardiovascular diseases and risk factors, 1990-2019: Update from the GBD 2019 Study, J Am Coll Cardiol. 76(25) (2020) 2982–3021.

DOI: 10.1016/j.numecd.2025.103848

Google Scholar

[10] Z. Zou, K. Cini, B. Dong, Y. Ma, J. Ma, D.P. Burgner, and G.C. Patton, Time trends in cardiovascular disease mortality across the BRICS: An age-period-cohort analysis of key nations with emerging economies using the global burden of disease study 2017, Circulation. 141(10) (2020) 790–799.

DOI: 10.1161/circulationaha.119.042864

Google Scholar

[11] F. Bray, M. Laversanne, B. Cao, C. Varghese, B. Mikkelsen, E. Weiderpass and I. Soerjomataram, Comparing cancer and cardiovascular disease trends in 20 middle- or high-income countries 2000-19: A pointer to national trajectories towards achieving sustainable development goal target 3.4, Cancer Treat. Rev. 100 (2021) 102290.

DOI: 10.1016/j.ctrv.2021.102290

Google Scholar

[12] Y. Li, G.-Y. Cao, W.-Z. Jing, J. Liu and M. Liu, Global trends and regional differences in incidence and mortality of cardiovascular disease, 1990-2019: Findings from 2019 global burden of disease study, Eur. J. Prev. Cardiol. 30(3) (2023) 276–286.

DOI: 10.1093/eurjpc/zwac285

Google Scholar

[13] A.A. Nancy, D. Ravindran, P.M.D. Raj Vincent, K. Srinivasan and D. Gutierrez Reina, IoT-cloud-based smart healthcare monitoring system for heart disease prediction via deep learning, Electronics. 11(15) (2022) 2292.

DOI: 10.3390/electronics11152292

Google Scholar

[14] G. Prieto-Avalos, N.A. Cruz-Ramos, G. Alor-Hernández, J.L. Sánchez-Cervantes, L. Rodríguez-Mazahua and L.R. Guarneros-Nolasco, Wearable devices for physical monitoring of heart: A review, Biosensors. 12(5) (2022) 292.

DOI: 10.3390/bios12050292

Google Scholar

[15] S. Chen, J. Qi, S. Fan, Z. Qiao, J.C. Yeo and C.T. Lim, Flexible wearable sensors for cardiovascular health monitoring, Advanced Healthcare Materials. 10(17) (2021) e2100116.

DOI: 10.1002/adhm.202100116

Google Scholar

[16] R. Gajda, Is continuous ECG recording on heart rate monitors the most expected function by endurance athletes, coaches, and doctors?, Diagnostics. 10(11) (2020) 867.

DOI: 10.3390/diagnostics10110867

Google Scholar

[17] A.A.T. Schuurmans, P. de Looff, K.S. Nijhof, C. Rosada, R.H.J. Scholte, A. Popma and R. Otten, Validity of the empatica E4 wristband to measure heart rate variability (HRV) parameters: A comparison to electrocardiography (ECG), J Med Syst. 44(11) (2020) 190.

DOI: 10.1007/s10916-020-01648-w

Google Scholar

[18] M.A. Serhani, H.T. El Kassabi, H. Ismail and A.N. Navaz, ECG monitoring systems: review, architecture, processes, and key challenges, Sensors. 20(6) (2020) 1796.

DOI: 10.3390/s20061796

Google Scholar

[19] A. Ni, A. Azarang, and N. Kehtarnavaz, A review of deep learning-based contactless heart rate measurement methods, Sensors. 21(11) (2021) 3719.

DOI: 10.3390/s21113719

Google Scholar

[20] A.I. Taloba, R. Alanazi, O.R. Shahin, A. Elhadad, A. Abozeid and R.M. Abd El-Aziz, Machine algorithm for heartbeat monitoring and arrhythmia detection based on ECG systems, Comput. Intell. Neurosci. 1 (2021) 7677568.

DOI: 10.1155/2021/7677568

Google Scholar

[21] B. Sumali, Y. Mitsukura, and T. Nishimura, Contactless continuous heart rate monitoring system using ballistocardiography, PloS One. 17(7) (2022.) e0272072.

DOI: 10.1371/journal.pone.0272072

Google Scholar

[22] Z.A.H. Ali, Z.K.A. Araibi, N.A.M. Hamza and R.M.F. Mahdi, Detection and monitoring of ECG signals, European Journal of Modern Medicine and Practice. 4(8) (2024) 537–553.

Google Scholar

[23] E. Lam, S. Aratia, J. Wang and J. Tung, Measuring heart rate variability in free-living conditions using consumer-grade photoplethysmography: Validation study, JMIR Biomedical Engineering. 5(1) (2020) e17355.

DOI: 10.2196/17355

Google Scholar

[24] J. Allen, D. Zheng, P.A. Kyriacou and M. Elgendi, Photoplethysmography (PPG): State-of-the-art methods and applications, Physiological Measurement. 42(10): (2021) 100301.

DOI: 10.1088/1361-6579/ac2d82

Google Scholar

[25] S. Blok, M.A. Piek, I.I. Tulevski, G.A. Somsen and M.M. Winter, The accuracy of heartbeat detection using photoplethysmography technology in cardiac patients, J. Electrocardiol. 67 (2021) 148–157.

DOI: 10.1016/j.jelectrocard.2021.06.009

Google Scholar

[26] P.P. Banik, S. Hossain, T.-H. Kwon, H. Kim and K.-D.Kim, Development of a wearable reflection-type pulse oximeter system to acquire clean PPG signals and measure pulse rate and SpO2 with and without finger motion, Electronics. 9(11) (2020) 1905.

DOI: 10.3390/electronics9111905

Google Scholar

[27] E. Mejía-Mejía, J.M. May, R. Torres and P.A. Kyriacou, Pulse rate variability in cardiovascular health: A review on its applications and relationship with heart rate variability, Physiological Measurement. 41(7) (2020) 07TR01.

DOI: 10.1088/1361-6579/ab998c

Google Scholar

[28] L. Alkhoury, J.-W. Choi, C. Wang, A. Rajasekar, S. Acharya, S. Mahoney, B.S. Shender, L. Hrebien and M. Kam, Heart-rate tuned comb filters for processing photoplethysmogram (PPG) signals in pulse oximetry, J. Clin. Monit. Comput. 35(4) (2021) 797–813.

DOI: 10.1007/s10877-020-00539-2

Google Scholar

[29] M.A. Motin, P.P. Das, C.K. Karmakar and M. Palaniswami, Compact pulse oximeter designed for blood oxygen saturation and heart rate monitoring, 3rd International Conference on Electrical and Electronic Engineering. (2021) 125–128.

DOI: 10.1109/iceee54059.2021.9718773

Google Scholar

[30] M. Nitzan and Z. Ovadia-Blechman, Physical and physiological interpretations of the PPG Signal, Photoplethysmography. (2022) 319-340.

DOI: 10.1016/b978-0-12-823374-0.00009-8

Google Scholar

[31] F. Sarhaddi, K. Kazemi, I. Azimi, R. Cao, R., H. Niela-Vilén, A. Axelin, P. Liljeberg and A.M. Rahmani, A Comprehensive Accuracy Assessment of Samsung Smartwatch Heart Rate and Heart Rate Variability, PloS One. 17(12) (2022) e0268361.

DOI: 10.1371/journal.pone.0268361

Google Scholar

[32] C. Spaccarotella, A. Polimeni, C. Mancuso, G. Pelaia, G. Esposito and C. Indolfi, Assessment of non-invasive measurements of oxygen saturation and heart rate with an apple smartwatch: Comparison with a standard pulse oximeter, J. Clin. Med. 11(6) (2022) 1467.

DOI: 10.3390/jcm11061467

Google Scholar

[33] C. Nwibor, S. Haxha, M.M. Ali, M. Sakel, A.R. Haxha, K. Saunders and S. Nabakooza, Remote health monitoring system for the estimation of blood pressure, heart rate, and blood oxygen saturation level, IEEE Sensors Journal. 23(5) (2023) 5401–5411.

DOI: 10.1109/jsen.2023.3235977

Google Scholar

[34] M.M. Islam, A. Rahaman and M.R. Islam, Development of a smart healthcare monitoring system in IoT environment, SN Computer Science, 1 (2020) 1-11.

DOI: 10.1007/s42979-020-00195-y

Google Scholar

[35] E.A.A. Karajah and I. Ishaq, Online monitoring health station using arduino mobile connected to cloud service: Heart monitor system. International Conference on Promising Electronic Technologies. (2020) 38-43.

DOI: 10.1109/icpet51420.2020.00016

Google Scholar

[36] S.S. Khamitkar and M. Rafi, IoT based system for heart rate monitoring, Int. J. Eng. Res. Technol. 9(7) (2020) 1563-1571.

Google Scholar

[37] P. Sihombing, Y.E. Barus, S. Sembiring and E.M. Zamzami, The development of heart rate detection using arduino microcontroller and android, in Journal of Physics: Conference Series. 1566(1) (2020) 012027.

DOI: 10.1088/1742-6596/1566/1/012027

Google Scholar

[38] N.H. Wijaya, F.A. Fauzi, E.T. Helmy, P.T. Nguyen and R.A. Atmoko, The design of heart rate detector and body temperature measurement device using ATMega16, J. Robot. Control. 1(2) (2020) 40-43.

DOI: 10.18196/jrc.1209

Google Scholar

[39] Y. Devis, Y. Irawan, F. Zoromi and M.R. Amartha, Monitoring system of heart rate, temperature and infusion in patients based on microcontroller (Arduino Uno), Journal of Physics: Conference Series. 1845(1) (2021) 012069.

DOI: 10.1088/1742-6596/1845/1/012069

Google Scholar