Heart Rate Monitoring System Based On ESP32 Using The AK90 Sensor With A Web Interface
https://doi.org/10.58466/aicoms.v4i2.1958
Keywords:
heart rate, IoT, photoplethysmography, real-time monitoring, web serverAbstract
Heart rate monitoring plays a crucial role in maintaining cardiovascular health, enabling early detection of disorders such as arrhythmia. This study aims to develop an Internet of Things (IoT)-based heart rate monitoring system using the AK90 sensor and ESP32 microcontroller integrated with a web interface to support real-time monitoring and digital data storage. The system was developed using the Waterfall approach, consisting of requirement analysis, system design, implementation, testing, and deployment in a Posyandu environment. The AK90 sensor utilizes the principle of photoplethysmography to detect heart rate, with data processed by the ESP32, displayed on an OLED screen, and stored via a local web server. Testing on four subjects showed that the system was able to record heart rates within the normal range (60–100 BPM) after a 10-second sensor stabilization period, although initial readings often showed a value of 0 due to the initialization process. This system offers a practical, affordable, and standalone solution for heart health monitoring, with potential for future enhancements such as notifications and historical data analysis to support medical diagnosis.
References
S. Supriyono and M. Magdalena, “Hubungan antara Aktivitas Fisik, Denyut Nadi dan Status Gizi Peserta Pelatihan Dasar Calon Pegawai Negeri Sipil Provinsi Jawa Tengah,” Jurnal Ilmu Kesehatan Masyarakat, vol. 12, no. 05, pp. 337–345, Sep. 2023, doi: 10.33221/jikm.v12i05.1864.
Z. F. Reza and T. Suryana, “Aplikasi Monitoring Kesehatan Dengan Memanfaatkan Smartwatch Berbasis Android,” Jurnal Penelitian Mahasiswa Teknik dan Ilmu Komputer (JUPITER), vol. 2, no. 2, pp. 85–92, Nov. 2022, doi: 10.34010/jupiter.v2i2.8873.
D. Benhans et al., “Deteksi Gangguan Kesehatan Melalui Analisis Suara: Pendeteksian Gejala Pernapasan Abnormal dan Suara Jantung tidak sehat menggunakan Kecerdasan Buatan,” Journal of Information System and Technology, vol. 4, no. 3, pp. 435–438, Nov. 2023, doi: 10.37253/joint.v4i3.8477.
Sujono Sujono and Ahmad Daud Al-Faatih, “Monitoring Detak Jantung pada Web Server Menggunakan Sensor Oximeter 30102 dan Nodemcu,” Router : Jurnal Teknik Informatika dan Terapan, vol. 3, no. 2, pp. 16–23, May 2025, doi: 10.62951/router.v3i2.417.
R. P. Hudhajanto, I. H. Mulyadi, and A. A. Sandi, “Wearable Sensor Device berbentuk Face Shield untuk Memonitor Detak Jantung berbasis IoT,” Journal of Applied Informatics and Computing, vol. 6, no. 1, pp. 87–92, Jun. 2022, doi: 10.30871/jaic.v6i1.4105.
R. Ahmad, H. M. Kaidi, M. N. Nordin, A. F. Ramli, M. A. Abu, and Y. Kadase, “Development of Blood Oxygen Level, Heart Rate And Temperature Monitoring System by Using ESP32,” in 2022 4th International Conference on Smart Sensors and Application (ICSSA), IEEE, Jul. 2022, pp. 167–172. doi: 10.1109/ICSSA54161.2022.9870943.
L. Kamajaya, A. Pracoyo, L. N. Palupi, and A. R. Hidayat, “Sistem Telemonitoring Kesehatan Berbasis IoT,” Jurnal Elektronika dan Otomasi Industri, vol. 10, no. 2, pp. 137–145, Jul. 2023, doi: 10.33795/elkolind.v10i2.3062.
I. Y. Zaki and L. Anifah, “Rancang Bangun Sistem Monitoring Detak Jantung, Suhu Tubuh, dan Cairan Infus Berbasis Internet of Things,” JURNAL TEKNIK ELEKTRO, vol. 12, no. 2, pp. 14–22, Jul. 2023, doi: 10.26740/jte.v12n2.p14-22.
S. S. Alegavi, B. Nemade, V. Bharadi, S. Gupta, V. Singh, and A. Belge, “Revolutionizing Healthcare through Health Monitoring Applications with Wearable Biomedical Devices,” International Journal on Recent and Innovation Trends in Computing and Communication, vol. 11, no. 9s, pp. 752–766, Aug. 2023, doi: 10.17762/ijritcc.v11i9s.7890.
Y. Erdani, R. A. Pratama, B. A. Ahad, and G. I. F. Fadila, “Desain Sistem Kontrol Container Station Menggunakan Metode Waterfall Berbasis Internet of Things (IoT),” G-Tech: Jurnal Teknologi Terapan, vol. 8, no. 3, pp. 1415–1430, Jul. 2024, doi: 10.33379/gtech.v8i3.4315.
P. A. Kyriacou and S. Chatterjee, “The origin of photoplethysmography,” in Photoplethysmography, Elsevier, 2022, pp. 17–43. doi: 10.1016/B978-0-12-823374-0.00004-9.
A. A. Mahesta, M. Arief Hidayat, and B. Nurul W, “Rancang Bangun Alat Ukur Detak Jantung Dengan Sensor Easy Pulse Plugin Berbasis Arduino Uno,” MEDIKA TRADA, vol. 3, no. 1, Jul. 2022, doi: 10.59485/jtemp.v3i1.6.
S. Fitriani, M. R. Sholahuddin, and S. D. Setiarini, “Rancang Bangun REST API Aplikasi Sistem Informasi Gardu Distribusi berbasis Android dan Web,” Journal of Information System Research (JOSH), vol. 4, no. 1, pp. 219–226, Oct. 2022, doi: 10.47065/josh.v4i1.2362.
M. U. Jannah, A. C. Nur’aidha, and D. Y. H. Kumarajati, “Sistem Deteksi Detak Jantung Berbasis Sensor MAX30102, Arduino Uno, Dan Oled Display untuk Pemantauan Detak Jantung Secara Real-Time,” Jurnal Informatika dan Teknik Elektro Terapan, vol. 12, no. 3, Aug. 2024, doi: 10.23960/jitet.v12i3.4528.
Rahmat Widadi, “Telemonitoring Denyut Jantung Dan Suhu Tubuh Terintegrasi Android Smartphone Berbasis Internet of Things (IoT),” Electrician, vol. 16, no. 1, pp. 102–109, Jan. 2022, doi: 10.23960/elc.v16n1.2232.
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