INTEGRATION OF IOT AND BIOMEDICAL DEVICES FOR REMOTE PATIENT MONITORING SYSTEMS

Abstract

The integration of Internet of Things (IoT) technologies with biomedical devices has enabled significant advancements in remote patient monitoring (RPM) systems. This study presents an IoT-based RPM framework designed for continuous monitoring of physiological parameters, including heart rate, blood pressure, blood oxygen saturation, body temperature, respiratory rate, and electrocardiogram signals. Wearable and IoT-enabled biomedical devices are employed to collect real- time patient data, which are transmitted through wireless networks to a centralized monitoring platform. Statistical analysis is conducted to validate the physiological realism of the collected data, while patients are classified into Normal, At Risk, and Critical health categories based on clinical indicators. Additionally, network performance metrics such as transmission latency and packet loss are evaluated to assess communication reliability. The results demonstrate that integrating biomedical sensing with network performance analysis enhances system reliability and supports timely clinical decision-making. The proposed framework shows strong potential for chronic disease management, elderly care, and continuous remote healthcare delivery