With the rapid development of the normalized prevention and control of the COVID-19 and the Internet of Things technology, home health monitoring is moving towards intelligence and precision. This paper proposes an IoT driven multimodal health monitoring solution to address the pain points of data silos, delayed warning, and low compliance in existing monitoring systems. The system achieves intelligent sampling driven by behavior perception through dynamic adaptive sensing technology, and combines LoRa BLE hybrid networking and edge cloud collaborative architecture to construct a hierarchical warning model embedded in clinical guidelines, which improves the clinical value of monitoring efficiency and user compliance.

Zhiqiong Zou. Design and Implementation of COVID-19 Patient Home Health Monitoring System Driven by Internet of Things. International Journal of World Medicine (2025), Vol. 6, Issue 1: 45-55. https://doi.org/10.38007/IJWM.2025.060106.

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