Abstract: The Internet of Things (IoT) has emerged as a transformative technology in healthcare, enabling real-time monitoring, early detection, and improved patient care through interconnected sensors, wearables, and cloud platforms. This paper presents a unified study of IoT applications in healthcare monitoring systems with a focus on chronic diseases. Specifically, it synthesizes research on non-invasive blood glucose monitoring (GluQo), cloud-assisted asthma monitoring, and multi-parameter healthcare frameworks. The paper highlights IoT architectures, system designs, and implementation results, while also addressing challenges of data privacy, interoperability, and scalability. Future directions include AI-driven IoT frameworks, blockchain-enabled security, and 5G-enabled telehealth.
Keywords: IoT, Healthcare Monitoring, Glucose Monitoring, Asthma Monitoring, Cloud Computing
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DOI:
10.17148/IJARCCE.2025.14916
[1] Tejas Naik, Manasvi Jadhav, Sai Palvi, Kanda Kumaran Thevar, "Smart Multi-Disease Healthcare with IoMT and Explainable AI," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14916
