Smart Health Care using Artificial Intelligence-Powered Electronics and Internet of Things

In the age of digital revolution, Artificial Intelligence (AI) and Internet of Things (IoT) integration has changed the face of healthcare monitoring systems. The current project offers a smart healthcare solution that utilizes AI-driven electronics and IoT for remote and real-time monitoring of heart rate, body temperature, and movement. It utilizes a NodeMCU ESP8266 microcontroller and biomedical sensors to gather data, process through light AI algorithms, and send to a cloud or mobile platform through Wi-Fi. It sends alerts in real time when it detects abnormal values, allowing for instant medical intervention. Its low cost, small size, and scalability are intended to enhance elderly and chronically ill patient care while easing healthcare infrastructure. The system suggested shows reliability, responsiveness, and the feasibility of large-scale deployment in the home or clinical environment.

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Publication Details

Published
2025-04-07
DOI
https://doi.org/10.1109/ictmim65579.2025.10988027
Primary Topic
Smart Systems and Machine Learning
Type
article
Field-Weighted Citation Impact
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Smart Health Care using Artificial Intelligence-Powered Electronics and Internet of Things

Venkatamuni Reddy, Chittepu Obula Reddy, G. Narsimlu, G. Deepa et al.
Smart Systems and Machine Learning
article

Smart Health Care using Artificial Intelligence-Powered Electronics and Internet of Things

Venkatamuni Reddy, Chittepu Obula Reddy, G. Narsimlu, G. Deepa, B R Sreedhar, M. Amarnath
article en

Abstract

In the age of digital revolution, Artificial Intelligence (AI) and Internet of Things (IoT) integration has changed the face of healthcare monitoring systems. The current project offers a smart healthcare solution that utilizes AI-driven electronics and IoT for remote and real-time monitoring of heart rate, body temperature, and movement. It utilizes a NodeMCU ESP8266 microcontroller and biomedical sensors to gather data, process through light AI algorithms, and send to a cloud or mobile platform through Wi-Fi. It sends alerts in real time when it detects abnormal values, allowing for instant medical intervention. Its low cost, small size, and scalability are intended to enhance elderly and chronically ill patient care while easing healthcare infrastructure. The system suggested shows reliability, responsiveness, and the feasibility of large-scale deployment in the home or clinical environment.

Chaitanya Bharathi Institute of Technology (IN)
Openalex Percentile: Top 90%
Smart Systems and Machine Learning
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Smart Health Care using Artificial Intelligence-Powered Electronics and Internet of Things — Venkatamuni Reddy, Chittepu Obula Reddy, et al. · (2025) | TGRS Research Map | TGRS