Remote Patient Monitoring System For Covid-19 Patient Using Wi-Fi-Based Pulse Oximeter Reading Sensor

Muhammad Akmal Mohd Takiyuddin; Iman Hazwam Abd Halim; Tajul Rosli Razak; Mohd Faris Mohd Fuzi

doi:10.24191/jcrinn.v7i2.290

Remote Patient Monitoring System For Covid-19 Patient Using Wi-Fi-Based Pulse Oximeter Reading Sensor

Authors

Muhammad Akmal Mohd Takiyuddin Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis Branch
Iman Hazwam Abd Halim Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis Branch
Tajul Rosli Razak Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis Branch
Mohd Faris Mohd Fuzi Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis Branch

DOI:

https://doi.org/10.24191/jcrinn.v7i2.290

Keywords:

COVID-19, Monitoring System, IoT, Internet of Things, NodeMCU, Pulse Oximeter, Sensor

Abstract

Continuous Heart disease and blood pressure are diseases that demand immediate care. Heart disease is currently one of the world's most fatal illnesses, as it always results in death. Pulse Oximeter Reading must be continuously measured, analyzed, and monitored in real-time to ensure that relevant measures may be taken when necessary. In this paper, we present a model that employs IoT to inform users about the incidence of heart disease and high blood pressure in their daily health. The Remote Patient Monitoring System for Covid-19 Patients Based on Oximeter Reading Sensor uses the Web Server ESP32 MAX30100 to replace the present Oximeter Reading monitoring and public broadcasting approaches. In addition, the NodeMCU ESP8266 Wi-Fi module allows the devices to save data in the cloud when connected to the Internet. Also, it is possible to construct effective real-time Heart Rate and Oxygen Level (IoT) monitoring. The findings indicated that users might access and monitor Heart rate and oxygen level via the Web Server regardless of their location in the monitoring region. Furthermore, providing an LCD is incredibly beneficial as it can show readings and ensure the users receive Pulse Oximeter Reading monitoring information when the device is in operation.

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References

Dhont, S., Derom, E., Van Braeckel, E., Depuydt, P., & Lambrecht, B. N. (2020). The

pathophysiology of 'happy' hypoxemia in COVID-19. Respiratory research, 21(1), 198. https://doi.org/10.1186/s12931-020-01462-5

Jayaysingh, R., David, J., Joel Morris Raaj, M., Daniel, D., & Blessytelagathoti, D. (2020). IoT Based Patient Monitoring System Using NodeMCU. ICDCS 2020 - 2020 5th International Conference on Devices, Circuits and Systems, 240â€“243. https://doi.org/10.1109/ICDCS48716.2020.243588

Kadhim, K. T., Alsahlany, A. M., Wadi, S. M., & Kadhum, H. T. (2020). Monitor human vital signs based on IoT technolgy using MQTT protocol. AIP Conference Proceedings, 2290(December). https://doi.org/10.1063/5.0027363

Lee, K. C., Morgan, A. U., Chaiyachati, K. H., Asch, D. A., Xiong, R. A., Do, D., Kilaru, A. S., Lam, D., Parambath, A., Friedman, A. B., Meisel, Z. F., Snider, C. K., Chisholm, D. L., Kelly, S., Hemmons, J. E., Abdel-Rahman, D., Ebert, J., Ghosh, M., Reilly, J., O'Malley, C. J., Delgado, M. K. (2022). Pulse Oximetry for Monitoring Patients with Covid-19 at Home - A Pragmatic, Randomized Trial. The New England journal of medicine, 386(19), 1857â€“1859. https://doi.org/10.1056/NEJMc2201541

Marathe, S., Zeeshan, D., Thomas, T., & Vidhya, S. (2019). A Wireless Patient Monitoring System using Integrated ECG module, Pulse Oximeter, Blood Pressure and Temperature Sensor. Proceedings - International Conference on Vision Towards Emerging Trends in Communication and Networking, ViTECoN 2019, 1â€“4.

https://doi.org/10.1109/ViTECoN.2019.8899541

Malasinghe, L. P., Ramzan, N., & Dahal, K. (2019). Remote patient monitoring: a comprehensive study. Journal of Ambient Intelligence and Humanized Computing, 10(1), 57â€“76. https://doi.org/10.1007/s12652-017-0598-x

Patil, C., & Chaware, A. (2021). Heart (Pulse Rate) Monitoring using Pulse Rate Sensor, Piezo Electric Sensor and NodeMCU. 8th International Conference on Computing for Sustainable Global Development (INDIACom). pp. 337-340.

Patil, C., & Chaware, A. (2021). Integration of Internet of Things, Cloud Computing. In IOP Conference Series: Materials Science and Engineering (Vol. 1022, No. 1, p. 012099). IOP Publishing.

Pronovost, P. J., Cole, M. D., & Hughes, R. M. (2022). Remote Patient Monitoring During COVID-19: An Unexpected Patient Safety Benefit. JAMA, 327(12), 1125â€“1126. https://doi.org/10.1001/jama.2022.2040