IoTPHM: Experimental Evaluation of Internet of Things Powered Patient Health Monitoring System using Smart Sensors

The Internet of Things Powered Patient Health Monitoring (IoTPHM) system represents a significant advancement in remote healthcare by integrating smart sensors, microcontrollers, and IoT technology. This system continuously monitors vital health parameters such as heart rate, blood oxygen saturation (SpO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>), body temperature, blood pressure, respiratory rate, and physical activity. Utilizing an ESP32 microcontroller, the system efficiently collects, preprocesses, and transmits data to cloud servers or mobile applications using MQTT and Bluetooth protocols. Preprocessing techniques, such as noise filtering and data normalization, ensure accurate and reliable analysis. The system's sustainability is enhanced through a rechargeable battery with a solar charging option. Evaluation results demonstrate high sensor accuracy, low latency in data transmission, and robust user feedback for comfort and usability. The IoTPHM system supports edge computing for real-time alerts and cloud-based analytics for predictive insights, enabling proactive healthcare management. Its compact, wearable design ensures convenience for continuous monitoring, catering to both clinical and home environments.

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Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icses63760.2024.10910265
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.35
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article

IoTPHM: Experimental Evaluation of Internet of Things Powered Patient Health Monitoring System using Smart Sensors

Peter Prince, C. Rajabhushanam
1 citations
IoT and Edge/Fog Computing
0.35
article

IoTPHM: Experimental Evaluation of Internet of Things Powered Patient Health Monitoring System using Smart Sensors

Peter Prince, C. Rajabhushanam
article en
1 citations

Abstract

The Internet of Things Powered Patient Health Monitoring (IoTPHM) system represents a significant advancement in remote healthcare by integrating smart sensors, microcontrollers, and IoT technology. This system continuously monitors vital health parameters such as heart rate, blood oxygen saturation (SpO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>), body temperature, blood pressure, respiratory rate, and physical activity. Utilizing an ESP32 microcontroller, the system efficiently collects, preprocesses, and transmits data to cloud servers or mobile applications using MQTT and Bluetooth protocols. Preprocessing techniques, such as noise filtering and data normalization, ensure accurate and reliable analysis. The system's sustainability is enhanced through a rechargeable battery with a solar charging option. Evaluation results demonstrate high sensor accuracy, low latency in data transmission, and robust user feedback for comfort and usability. The IoTPHM system supports edge computing for real-time alerts and cloud-based analytics for predictive insights, enabling proactive healthcare management. Its compact, wearable design ensures convenience for continuous monitoring, catering to both clinical and home environments.

Bharath University (IN)
Openalex Percentile: Top 33%
IoT and Edge/Fog Computing
0.35
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IoTPHM: Experimental Evaluation of Internet of Things Powered Patient Health Monitoring System using Smart Sensors — Peter Prince, C. Rajabhushanam · (2024) | TGRS Research Map | TGRS