IoT-Based Low-Cost Smart Health Monitoring System using Raspberry Pi Pico W and Blynk Application
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Abstract
In recent years, the technological advent of the Internet of Things (IoT) and smart sensing devices have opened new trends and given practical solutions in various sectors of life. The IoT is a modern technology that interconnects networks of different things. Healthcare sectors have been improved based on IoT including the health monitoring system (HMS). Monitoring patient observation wirelessly at a low cost is considered a significant issue. This work is proposed especially for monitoring patient health parameters in real-time at a low price. It consists of smart sensors that measure different parameters which are: BPM (heart rate), body temperature, and SPO2 (Oxygen Saturation) for the patient, respectively. Patient status is displayed locally on the OLED and globally using the Blynk application. In this system, the Raspberry Pi Pico W board is used as a microcontroller with the concept of cloud computing. The results showed that patients’ acquired data would be transmitted very quickly, and numerous patients could be screened remotely. The proposed HMS is compared to commercial devices in terms of accuracy, cost, and usability. The system shows an acceptable error percentage for the mentioned health parameters ranging between (-2 to 7 %), relatively low cost and flexible usage.
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References
Abdulmalek, S., Nasir, A., Jabbar, W.A., Almuhaya, M.A., Bairagi, A.K., Khan, M.A.M. and Kee, S.H., 2022, October. IoT-based healthcare-monitoring system towards improving quality of life: A review. In Healthcare (Vol. 10, No. 10, p. 1993). MDPI. Doi: 10.3390/healthcare10101993
Abed, N.J. and Hussein, E.A., 2021. Design and implementation of real time health care monitoring system based on IoT. Journal of Physics: Conference Series, 1818, P. 012044. Doi: 10.1088/1742-6596/1818/1/012044.
Alattar, A.E., Mohsen, S.A, 2023. Survey on smart wearable devices for healthcare applications. Wireless Personal Communications. 132, pp. 775–783. Doi:10.1007/s11277-023-10639-2
Alsharif, M.H., Jahid, A., Kelechi, A.H. and Kannadasan, R., 2023. Green IoT: A review and future research directions. Symmetry, 15(3), p.757. Doi: 10.3390/sym15030757.
Arandia, N., Garate, J.I. and Mabe, J., 2022. Embedded sensor systems in medical devices: requisites and challenges ahead. Sensors, 22(24), pp. 1–28. Doi: 10.3390/s22249917.
Elliott, M. and Coventry, A., 2012. Critical care: the eight vital signs of patient monitoring. British Journal of Nursing, 21(10), pp.621-625. Doi: 10.12968/bjon.2012.21.10.621.
Forkan, A.R.M., Khalil, I., Tari, Z., Foufou, S. and Bouras, A., 2015. A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted living. Pattern Recognition, 48(3), pp.628-641. Doi: 10.1016/j.patcog.2014.07.007.
Gade, P., 2021. IoT based pulse oximeter using ESP8266. SSRN. https://dx.doi.org/10.2139/ssrn.3918115
Ganesh, K.V.S.S., Jeyanth, S.S. and Bevi, A.R., 2022. IOT based portable heart rate and SpO2 pulse oximeter. HardwareX, 11, p.e00309. Doi: 10.1016/j.ohx.2022.e00309.
Gupta, P., Agrawal, D., Chhabra, J. and Dhir, P.K., 2016, March. IoT based smart healthcare kit. In 2016 International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT), pp. 237-242. IEEE. Doi: 10.1109/ICCTICT.2016.7514585.
Shetty, H. and Shetty, A., 2018. A review on health monitoring system using IoT. International Journal of Engineering Research & Technology (IJERT), 6(15), pp.1-3. Doi: 10.17577/IJERTCONV6IS15087.
Hasan, M., Islam, M.M., Zarif, M.I.I. and Hashem, M.M.A., 2019. Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches. Internet of Things, 7, p.100059. Doi:10.1016/j.iot.2019.100059.
Hegde, R., Ranjana, S. and Divya, C.D., 2021, April. Survey on development of smart healthcare monitoring system in IoT environment. In 2021 5th International Conference on Computing Methodologies and Communication (ICCMC) (pp. 395-399). IEEE. Doi: 10.1109/ICCMC51019.2021.9418405.
Islam, M.M., Rahaman, A. and Islam, M.R., 2020. Development of smart healthcare monitoring system in IoT environment. SN computer science, 1, pp.1-11. Doi: 10.1007/s42979-020-00195-y.
Kamarozaman, N.B. and Awang, A.H., 2021. IOT COVID-19 portable health monitoring system using Raspberry Pi, node-red and Thing Speak. In 2021 IEEE Symposium on Wireless Technology & Applications (ISWTA), pp. 107-112. Doi: 10.1109/ISWTA52208.2021.9587444.
Kadhim, D.J. and Hamad, O. A., 2023. Improving IoT applications using a proposed routing protocol. Journal of Engineering, 20(11), pp. 50–62. Doi: 10.31026/j.eng.2014.11.04.
Khan, M.M., Alanazi, T.M., Albraikan, A.A. and Almalki, F.A., 2022. [Retracted] IoT‐Based health monitoring system development and analysis. Security and Communication Networks, 2022(1), p.9639195. Doi:10.1155/2022/9639195
Khan, M.A., Din, I.U., Kim, B.S. and Almogren, A., 2023. Visualization of remote patient monitoring system based on internet of medical things. Sustainability, 15(10), p.8120. Doi: 10.3390/su15108120.
Koestoer, R.A., Saleh, Y.A., Roihan, I. and Harinaldi, H., 2019, January. A simple method for calibration of temperature sensor DS18B20 waterproof in oil bath based on Arduino data acquisition system. In AIP Conference Proceedings (Vol. 2062, No. 1). AIP Publishing. Doi: 10.1063/1.5086553.
Kumar, P. and Kumar, A., 2022. Health monitoring system using microcontroller. International Journal for Research in Applied Science and Engineering Technology, 10(6), pp. 607–612. Doi:10.22214/ijraset.2022.43560.
Li, C., Wang, J., Wang, S. and Zhang, Y., 2023. A review of IoT applications in healthcare. Neurocomputing, p.127017. Doi: 10.1016/j.neucom.2023.127017.
Mahmood, B.M.R., Younis, M.I. and Ali, H.M., 2023. Construction of a general-purpose infrastructure for rfid – based applications. Journal of Engineering, 19(11), pp. 1425–1441. Doi:10.31026/j.eng.2013.11.06.
Mohammed, J., Lung, C.H., Ocneanu, A., Thakral, A., Jones, C. and Adler, A., 2014, September. Internet of Things: Remote patient monitoring using web services and cloud computing. In 2014 IEEE international conference on internet of things (IThings), and IEEE green computing and communications (GreenCom) and IEEE cyber, physical and social computing (CPSCom) (pp. 256-263). IEEE. Doi:10.1109/iThings.2014.45.
Mostafa, B.S., Miry, A.H. and Salman, T., 2020. Healthcare Monitoring and analytic system based Internet of Thing. Iraqi Journal for Electrical and Electronic Engineering, pp. 30-36. Doi:10.37917/ijeee.sceeer.3rd.5.
Mshali, H., Lemlouma, T., Moloney, M. and Magoni, D., 2018. A survey on health monitoring systems for health smart homes. International Journal of Industrial Ergonomics, 66, pp.26-56. Doi:10.1016/j.ergon.2018.02.002.
Analog Devices. Pulse oximeter and heart-rate sensor IC for wearable health; 2014. Available from:
https://pdf1.alldatasheet.com/datasheet-pdf/view/879178/MAXIM/MAX30100.html.
Qadir, G.A. and Hussan, B.K., 2023. An authentication and access control model for healthcare based cloud services. Journal of Engineering, 29(3), pp. 15–26. Doi: 10.31026/j.eng.2023.03.02.
Raghav, S., Vijay, G., Harika, P.S., Rao, A.V., Gopinath, A., Shibu, N.S. and Gayathri, G., 2020. Suraksha: Low cost device to maintain social distancing during COVID-19. 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), pp. 1476-1480. Doi:10.1109/ICECA49313.2020.9297503.
Raspberry Pi, 2021. Raspberry Pi Pico Datasheet. pp. 1–29. Available at: https://datasheets.raspberrypi.com/pico/pico-datasheet.pdf.
RP2040, 2021. RP2040 Datasheet. Available at: https://datasheets.raspberrypi.com/rp2040/rp2040-datasheet.pdf.
Ru, L., Zhang, B., Duan, J., Ru, G., Sharma, A., Dhiman, G., Gaba, G.S., Jaha, E.S. and Masud, M., 2021. A detailed research on human health monitoring system based on internet of things. Wireless Communications and Mobile Computing, pp. 1-9. Doi: 10.1155/2021/5592454.
Saha, R., Biswas, S., Sarmah, S., Karmakar, S. and Das, P., 2021. A working prototype using DS18B20 temperature sensor and arduino for health monitoring. SN Computer Science, 2(1), pp. 33. Doi:10.1007/s42979-020-00434-2.
Santoso, D. and Setiaji, F.D., 2015. Non-contact portable infrared thermometer for rapid influenza screening. 2015 International Conference on Automation, Cognitive Science, Optics, Micro Electro-Mechanical System, and Information Technology (ICACOMIT), pp. 18-23. Doi:10.1109/ICACOMIT.2015.7440147.
Systech, S., 2008. SSD1306. Available at: https://cdn-shop.adafruit.com/datasheets/SSD1306.pdf
World Health Organization. Ageing and Health. https://www.who.int/news-room/fact-sheets/detail/ageing-and-health (accessed 1 Mar 2024).
Wu, Z., Qiu, K. and Zhang, J., 2020. A smart microcontroller architecture for the Internet of Things. Sensors, 20(7), pp. 1821. Doi: 10.3390/s20071821.
Younis, M.I., Abdulkareem, H.F. and Ali, H.M., 2015. Construction of graduation certificate issuing system based on digital signature technique. Journal of Engineering, 21(6), pp. 15–36. Doi:10.31026/j.eng.2015.06.02.