HEALTH LEVEL MONITORING THROUGH HEART RATE AND OXYGEN LEVEL DETECTION WITH ANDROID-BASED INTERNET OF THINGS
DOI:
https://doi.org/10.58436/jeepa.v3i2.1667Keywords:
Internet of Things, MAX30100, Heartrate, OximeterAbstract
One of the most important organs of the human body is the heart. The heart manages the circulation of oxygen-rich blood and transports food waste from the body. Heart rate can help diagnose heart problems and show how healthy the heart is. The aim of this research is to create a tool to monitor the work of the heart through heart rate and oxygen levels in the blood vessels to determine the level of heart health via the Internet of Things (IoT). The research method used was to create a prototype designed with IoT using the ESP32 Node MCU and the Blynk application via the MAX30100 sensor. Testing the sensor voltage obtained an average input voltage value of 4.14 V and an output voltage of 3.3 V. The average error value was 0.6 V and the percentage calculation was 79.7%. Monitoring tools to detect oxygen levels in blood vessels and successfully read data. The test results in table 3.3 were carried out with an average heart detection result of 82.6 BPM (Beat per Minute) and an oxygen level detection result of 95%. Monitoring can also be seen via the Blynk application on Android or other gadgets. The sensor reading results for oxygen levels are almost accurate, having the same reading value, while the heart rate measurement results are less variable according to physical conditions. Using the Blynk application is very easy to use both directly and remotely.
References
Fadlilah, Siti, Nazwar Hamdani Rahil, and Fransiska Lanni. "Analisis Faktor Yang Mempengaruhi Tekanan Darah Dan Saturasi Oksigen Perifer (Spo2)." Jurnal Kesehatan Kusuma Husada (2020): 21-30.
Qahar, Adha Nur. "Desain Alat Ukur Denyut Jantung Dan Saturasi Oksigen Pada Anak Menggunakan Satu Sensor." (2018).
Gunawan, Hanapi. "Alat Untuk Memperagakan Irama Denyut Jantung Sebagai Bunyi dan Pengukur Kecepatan Denyut Jantung Melalui Elektroda pada Telapak Tangan." Maranatha Electrical Engineering Journal 2.1 (2011): 147620.
Penggalih, Mirza Hapsari Sakti Titis, Marina Hardiyanti, and Fadhila Ika Sani. "Perbedaan perubahan tekanan darah dan denyut jantung pada berbagai intensitas latihan atlet balap sepeda." Jurnal Keolahragaan 3.2 (2015): 218-227.
Kurniasih, Tjitjih. Sistem Organ Manusia. Deepublish, 2018.
Juwana, Caresa. Visualisator mekanisme kerja jantung manusia. Diss. Widya Mandala Catholic University Surabaya, 2012.
Wamiliana, Wamiliana, Ade Hardiyanti, and Wisnu Wardhana. "Penerapan Algoritma Sequential Search dalam Proses Pencarian Informasi pada Sistem Pembelajaran Organ Jantung Manusia." Jurnal Komputasi 2.2 (2016).
Anggraini, Dian Isti, and Zulfa Labibah. "Diet Mediterania dan Manfaatnya terhadap Kesehatan Jantung dan Kardiovaskular." Jurnal Majority 5.3 (2016): 188-193.
Laghari, Asif Ali, et al. "A review and state of art of Internet of Things (IoT)." Archives of Computational Methods in Engineering (2021): 1-19.
Balaji, Subramanian, Karan Nathani, and Rathnasamy Santhakumar. "IoT technology, applications and challenges: a contemporary survey." Wireless personal communications 108 (2019): 363-388.
Murad, S. A. Z., et al. "Design of internet of things based air pollution monitoring system using thingspeak and blynk application." Journal of Physics: Conference Series. Vol. 1962. No. 1. IOP Publishing, 2021.
Syarifudin, Shofi, Rizky Mubarok, and Edmund Ucok Armin. "Rancang Bangun Sistem Monitoring Suhu dan Pakan Pada Kandang Ayam Berbasis Internet Of Things mengunakan NODEMCU ESP8266." (2021): 29-35.
Fauzi, Muhammad Ahsan, Nasrulloh Nasrulloh, and Edmud Ucok Armin. "WEIGHBRIDGE AUTOMATED SYSTEM USING ESP 8266 MCU NODE: Array." Journal of Electronic and Electrical Power Applications 1.2 (2021): 8-14.
Murdiantoro, Randi Adzin, Ahmad Izzinnahadi, and Edmund Ucok Armin. "Sistem pemantauan kondisi air hidroponik berbasis internet of things menggunakan NodeMCU ESP8266." JTECE (Journal of Telecommunication, Electronics, and Control Engineering) 3.2 (2021): 54-61.
Ansari, Danish Bilal, Atteeq-Ur Rehman, and Rizwan Ali. "Internet of things (iot) protocols: a brief exploration of mqtt and coap." International Journal of Computer Applications 179.27 (2018): 9-14.
Anggrawan, Anthony, Sirojul Hadi, and Christofer Satria. "IoT-Based garbage container system using NodeMCU ESP32 microcontroller." Journal of Advances in Information Technology Vol 13.6 (2022).
Purnomo, Dandy Cahyo, Efri Sandi, and Muhammad Yusro. "Rancang Bangun Sistem Monitoring Detak Jantung (Electrocardiogram) Suhu Tubuh Denyut Nadi Berbasis Nodemcu Esp32 Dan Esp8266 Dengan Menggunakan Wearable Device." JURNAL PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA (JVoTE) 5.1 (2022): 1-9.
Prasetya, Wawas Dwi, Moethia Faridha, and Saiful Karim. "PERANCANGAN ALAT PENGUKUR SUHU TUBUH, DETAK JANTUNG DAN OKSIGEN DALAM DARAH DENGAN MIKROKONTROLLER NODEMCU ESP32 BERBASIS WEB INTERNET OF THINGS (IOT)." Prosiding SainsTeKes 2 (2021): 44-57.
Suprayitno, E. Agus, Akhmad Setiawan, and Rohman Dijaya. "Design of instrumentation in detecting blood sugar levels with non-invasive technique base on IoT (Internet of Things)." Int J Eng Technol 2018 7 (2018): 440-2.
Annapurna, B., et al. "Max 30100/30102 sensor implementation to viral infection detection based on Spo2 and heartbeat pattern." Annals of the Romanian Society for Cell Biology (2021): 2053-2061.
Sari, Nila Novita, et al. "Telemedicine for silent hypoxia: Improving the reliability and accuracy of Max30100-based system." Indones. J. Electr. Eng. Comput. Sci 22.3 (2021): 1419-1426.
Esmaeiliazad, Tina. "Special Study of Earlobe Pulse Oximeter Using MAX30100 for Detecting SpO2 and Heart Beat." ACADEMIC JOURNAL (2021).
Sianipar, Hendra Putra, Zulfian Azmi, and Khairi Ibnutama. "MONITORING INFUS PADA PASIEN BERBASIS IOT DENGAN APLIKASI BLYNK MENGGUNAKAN METODE SIMPLEX." Jurnal Cyber Tech 5.2 (2023): 74-80.
Putra, Iqbal Anshari, Achmad Ali Muayyadi, and Doan Perdana. "Implementasi Sistem Monitoring Detak Jantung Dan Suhu Tubuh Menggunakan Sensor Pulse Dan Blynk Application Berbasis Internet Of Things." eProceedings of Engineering 9.6 (2023).
Chiang, Chien-Jung, et al. "Mechanical modeling of flexible OLED devices." Organic Electronics 10.7 (2009): 1268-1274.
Zampetti, Andrea, Alessandro Minotto, and Franco Cacialli. "Near‐infrared (NIR) organic light‐emitting diodes (OLEDs): challenges and opportunities." Advanced Functional Materials 29.21 (2019): 1807623.
J. Dian, F. D. Silalahi, and N. D. Setiawan, “Sistem Monitoring Detak Jantung Untuk Mendeteksi Tingkat Kesehatan Jantung Berbasis Internet Of Things Menggunakan Android,” JUPITER (Jurnal Penelit. Ilmu dan Teknol.Komputer), vol. 13, no. 2, pp. 69– 75, 2021, [Online]. Available: https://jurnal.polsri.ac.id/index.php/jupiter/article/view/3669.
Hawa, S. D., Syauqi, A., Rolisnawati, R., & Za'im Akbar, H. (2023). Factor Analysis of Demand for Kaligua Tourism in Brebes Regency: A Case Study Using Primary Data. Media Trend, 18(1), 90-101.
Al Banin, Q., Eliyana, A., & Latifiyah, E. R. (2020). Enhancing employee performance with work motivation as a mediation variable. Systematic Reviews in Pharmacy, 11(9), 333-346.