Abstract: The rapid incorporation of IoT technologies into most sectors of our day-to-day life, the health sector inclusive, has given room to the harnessing and analysis of data related to patients. However, the aged risk death through the worldwide problem of aging that has been burdensome in the recent past. Many IoT devices are designed to monitor, track, and record the actions of the elderly to reduce these hazards. In this regard, the presented paper develops novel dependable cloud-based remote system patient monitoring framework for IoT health detection. Most distinguished part of this research is that we rarely find a framework in the literature that is developed with a basis on a real-time system by taking into consideration heartbeat (BPM), blood oxygen (SpO2), and body temperature at once. Implementation and testing of this real-time system is divided into six distinctly separated phases for developing both hardware and software. In order to validate the performance of the proposed system, the data are collected from BOT-IoT datasets. The outcome enhances patient satisfaction, safe data transmission, and healthcare results as it shows that the proposed framework is more efficient than the compared protocols in terms of the decision time, which is 16.3 seconds for 46 features with an accuracy of 100%.
Keywords: anomaly detection; cloud computing; health monitoring system; healthcare IoT architecture real-time monitoring; secure data transmission
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DOI:
10.17148/IJARCCE.2025.14467
