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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM59231
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The rapid advancement of the Internet of Things (IoT) has enabled continuous and remote monitoring of patient health. This paper presents a Smart Health Monitoring System that tracks vital parameters such as heart rate, blood oxygen saturation (SpO₂), and body temperature using sensors interfaced with an ESP32 microcontroller. The collected data is transmitted in real time to a web-based dashboard developed using Python and Flask, where it is displayed in tabular and graphical formats for effective analysis. An Artificial Intelligence (AI)-based alert module is integrated to analyze incoming data, detect abnormal health patterns, and generate early warnings when parameters deviate from normal ranges. The system aims to reduce human error, enable timely medical intervention, and provide a low-cost, portable, and efficient solution for continuous patient monitoring and improved healthcare delivery.
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Publication Date
8/3/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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