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.
Authors
- Peter Prince (ORCID: https://orcid.org/0000-0002-4857-261X)
- C. Rajabhushanam (ORCID: https://orcid.org/0009-0005-2905-2714)
Institutions
- Bharath University (IN)
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