IoT-Based Health Monitoring System for Real-Time Patient Monitoring

The Internet of Things (IoT) is changing healthcare, especially in how patients are monitored remotely. This paper focuses on a health monitoring system using IoT to track key health indicators such as heart rate, body temperature, ECG, and environmental factors like humidity and room temperature. The system incorporates an ESP32 (a microcontroller) linked to various sensors—DHT11, DS18B20, AD8232, and a Pulse Sensor—to gather live health data. A Flask web server is used for visualizing and storing this data, making it easy to access health records. Furthermore, a GSM SIM800L module is included to send emergency texts and calls automatically if dangerous conditions are detected. This setup improves remote healthcare by allowing for constant monitoring, cutting down on the need for hospital visits, and ensuring quick medical response. Tests show that the system provides accurate sensor readings and handles data efficiently. Looking ahead, AI could be integrated to enhance early diagnosis and patient care.

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Publication Details

Published
2025-08-08
DOI
https://doi.org/10.1109/icbmesh66209.2025.11182241
Citations
1
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
3.25
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IoT-Based Health Monitoring System for Real-Time Patient Monitoring

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article

IoT-Based Health Monitoring System for Real-Time Patient Monitoring

Manjula Vasant Kiresur, Abhishek Kurahatti, Chinmayanandha R Sharmae, Dhanush Gowda B, Dongrisab Lalasab Gaddi
article en
1 citations

Abstract

The Internet of Things (IoT) is changing healthcare, especially in how patients are monitored remotely. This paper focuses on a health monitoring system using IoT to track key health indicators such as heart rate, body temperature, ECG, and environmental factors like humidity and room temperature. The system incorporates an ESP32 (a microcontroller) linked to various sensors—DHT11, DS18B20, AD8232, and a Pulse Sensor—to gather live health data. A Flask web server is used for visualizing and storing this data, making it easy to access health records. Furthermore, a GSM SIM800L module is included to send emergency texts and calls automatically if dangerous conditions are detected. This setup improves remote healthcare by allowing for constant monitoring, cutting down on the need for hospital visits, and ensuring quick medical response. Tests show that the system provides accurate sensor readings and handles data efficiently. Looking ahead, AI could be integrated to enhance early diagnosis and patient care.

International Institute of Information Technology Bangalore (IN)
Openalex Percentile: Top 6%
Internet of Things and AI
3.25
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