References
[1]. Babalola, A. D., Akingbade, K. F., & Ubochi, B. C. (2022). The performance of the STM32 microcontroller and MAX30102 for remote health monitoring device design.Journal of Digital Innovations & Contemporary Research in Science, Engineering & Technology,10(1), 51–68. https: //dx.doi.org/10.22624/AIMS/DIGITAL/V10N1P4
[2]. Valsalan, P., Baomar, T. A. B., & Baabood, A. H. O. (2020). IoT based health monitoring system.Journal of Critical Reviews, 7(4), 739-743.
[3]. Raj, K. M., Kumar, K., Agrawal, M., & Kadam, P. D. (2023). IoT-based patient health monitoring using ESP8266 module & Arduino.International Journal of Scientific Research in Engineering and Management,7(7), 1–6.
[4]. Alsayaydeh, J. A. J., Yusof, M. F. B., Abdul Halim, M. Z. B., Zainudin, M. N. S., & Herawan, S. G. (2023). Patient health monitoring system development using ESP8266 and Arduino with IoT platform.International Journal of Advanced Computer Science and Applications,14(4), 513–521. https: //doi.org/10.14569/IJACSA.2023.0140467
[5]. Analog Devices. (2018). MAX30102 high-sensitivity pulse oximeter and heart-rate sensor for wearable health. Retrieved from https: //www.analog.com/media/en/technical-documentation/data-sheets/max30102.pdf
[6]. Alqaraawi, A., Alwosheel, A., & Alasaad, A. (2016). Heart rate variability estimation in photoplethysmography signals using Bayesian learning approach.Healthcare Technology Letters, 3(2), 136–142. https: //doi.org/10.1049/htl.2016.0006
[7]. Valenti, S., Volpes, G., Parisi, A., Buscemi, A., Cino, A., Meli, F., & D'Acquisto, L. (2023). Wearable multisensor ring-shaped probe for assessing stress and blood oxygenation: Design and preliminary measurements.Biosensors, 13(4), 460. https: //doi.org/10.3390/bios13040460