Body Area Network-Based System for Swollen Veins Detection and Automated Treatment

Vollständiger Abstract

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The case study illustrates a Body Area Network (BAN)-based system of detecting and automatically treating swollen veins via biomedical sensors, microcontrollers, and wireless communications. The system incorporates the pressure, temperature, and flow sensors to track the physiology of the vein in real time. Sensor data collected is processed by a NodeMCU or an Arduino architecture via threshold-based algorithms, and the most critical data is presented on an LCD to monitor locally and the data is transmitted over the air to monitor remotely. When irregularities are identified, the automated treatment process is triggered to regulate swelling and reinstitute circulation. Experimental findings showcased tiny error, low delay, and good power control symmetrically as having an application in smart, anticipatory healthcare.