IoT-Powered Real-Time InPatient Monitoring System with Seamless Connectivity and Insights

IoT driven solutions for efficient and continuous patient monitoring is increasingly needed given that several resource limited and understaffed healthcare facilities require these solutions. In this paper, we describe a scalable and privacy respecting real time in-patient monitoring system coupled with a hybrid edge cloud architecture. The system is powered by an ESP32-C3 and the Gravity: MAX30102 heart and SpO₂ sensor, and a LM35 sensor for being body temperature. InfluxDB powered edge node is a node which processes sensor data using edge and then stores locally with low latency access and offline functionality. Also, the system synchronizes historical data to a secure cloud database as well as in sync to the database for analysis in advanced analysis and long-term trend monitoring. The real time dashboards and alert mechanisms that healthcare workers are empowered with, enables them to proactively take decisions as opposed to employing manual interventions. The system achieves performance, high reliability, and clinical utility for use in resource poor countries: an important step towards the development of cheap, automated vital tracking systems.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-29
DOI
https://doi.org/10.22214/ijraset.2025.69688
Primary Topic
IoT-based Smart Home Systems
Type
article
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article

IoT-Powered Real-Time InPatient Monitoring System with Seamless Connectivity and Insights

Rajat Saha
International Journal for Research in Applied Science and Engineering Technology
IoT-based Smart Home Systems
article

IoT-Powered Real-Time InPatient Monitoring System with Seamless Connectivity and Insights

Rajat Saha
article en

Abstract

IoT driven solutions for efficient and continuous patient monitoring is increasingly needed given that several resource limited and understaffed healthcare facilities require these solutions. In this paper, we describe a scalable and privacy respecting real time in-patient monitoring system coupled with a hybrid edge cloud architecture. The system is powered by an ESP32-C3 and the Gravity: MAX30102 heart and SpO₂ sensor, and a LM35 sensor for being body temperature. InfluxDB powered edge node is a node which processes sensor data using edge and then stores locally with low latency access and offline functionality. Also, the system synchronizes historical data to a secure cloud database as well as in sync to the database for analysis in advanced analysis and long-term trend monitoring. The real time dashboards and alert mechanisms that healthcare workers are empowered with, enables them to proactively take decisions as opposed to employing manual interventions. The system achieves performance, high reliability, and clinical utility for use in resource poor countries: an important step towards the development of cheap, automated vital tracking systems.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
SRM Institute of Science and Technology (IN)
Openalex Percentile: Top 93%
IoT-based Smart Home Systems
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