International Journal of Advanced Research in Computer and Communication Engineering

Abstract: MedGuard Edge is a decentralized healthcare IoT system that ensures continuous and secure patient monitoring while solving the fundamental security and privacy concerns of traditional centralized systems. The smart wearable hand band includes sensors for temperature, oxygen saturation (SpO2), heart rate (BPM), and humidity, which process crucial biomedical data. These data are encrypted and transferred to the MedGuard server via a Node MCU module for threat analysis, anomaly identification, and decision-making, with the user receiving emergency notifications. At its core, Clustered Federated Learning allows for local model training on clustered devices without exchanging raw patient data, hence ensuring privacy. Blockchain technology secures model updates via tamper-proof validation, ensuring data integrity. Real-time anomaly detection monitors devices and data for anomalies, while self-healing features isolate or recover compromised nodes to ensure system stability. A real-time dashboard displays graphical views of patient data, alerts, device health, and blockchain logs, allowing healthcare administrators to monitor and respond more efficiently.

Keywords: Blockchain, Clustered Federated Learning, Internet of Things (IoT), Healthcare Security, Anomaly Detection, and Self-Healing Systems.

Downloads: | DOI: 10.17148/IJARCCE.2025.141281