A Smart IOT-Enabled Health Monitoring Framework for Safe Remote Healthcare

DOI

10.2991/978-94-6239-723-1_4How to use a DOI?

Keywords

IoT; Health Monitoring; Sensors; Arduino IDE; ESP 32; Remote Healthcare; Cloud Computing

Abstract

Nowadays, Health-care Environment has evolved science and know-how based on Wireless-Sensing node Technology focused upon. That is for particularly taking care of old-age patients and alerting the doctors, as well as their near ones [1][2]. Mostly, researchers are working efficiently for the growth of a digital healthcare system by interlinking different health-care resources.[3].Therefore, we are introducing an innovative project for avoiding such high sudden death rates by utilizing the “Patient Health Monitoring” system based on sensors, by using the internet for alerting the near ones in case of any problem in the patient’s health[1][5]. For the purpose of taking care of the health of the patient, the Temperature Sensor and “beat” Heart Sensor is used for surveillance, both sensors are linked to the Arduino-uno, as well as “ESP 32”[5][6]. For surveillance, the micro-controller is linked to the “LCD” display, as well as “wi-fi” for transmitting data to the “web-server” (sensory wireless node)[7]. This model current patient temperature and heart beats data is shown live through the Internetwork. Therefore, Patient health monitoring system based on IoT relies on the internet for effective health observation for patients and assist the person to monitor his or her relatives from office and thus saves lives. It is believed that this research will be beneficial for authors and experts in the field of medicine regarding comprehending an understanding of the great potential of IoT in the field of medicine and the prominent challenges of using IoT for healthcare purposes.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Samruddhi Bogawar
AU  - Pranav Gosavi
AU  - Suyog Mohite
AU  - Meenakshi Somnath Patil
AU  - Rupali Salunke
PY  - 2026
DA  - 2026/07/14
TI  - A Smart IOT-Enabled Health Monitoring Framework for Safe Remote Healthcare
BT  - Proceedings of the International Conference on Responsible, Risk-aware, and Regulated AI (RRRAI 2026)
PB  - Atlantis Press
SP  - 30
EP  - 38
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-723-1_4
DO  - 10.2991/978-94-6239-723-1_4
ID  - Bogawar2026
ER  -