Abstract: The paradigm of patient care is undergoing a significant transformation, moving from episodic, in-clinic assessments to continuous, remote monitoring facilitated by the Internet of Things (IoT). This shift is driven by a pressing need to manage patient care more efficiently, particularly for vulnerable populations and those with chronic illnesses, as conventional healthcare systems face increasing strain from limited resources and suboptimal nurse-to-patient ratios. This paper presents the design, implementation, and validation of a comprehensive, IoT-enabled solution for continuous health monitoring. The system integrates a suite of non-invasive biosensors, including Electrocardiogram (ECG), pulse oximetry, and temperature sensors, with a NodeMCU microcontroller for data acquisition and processing. Utilizing the Arduino IoT Cloud platform, the system transmits vital signs data wirelessly for real-time visualization and storage. Key functionalities include a robust alerting mechanism to notify caregivers of critical health abnormalities and a user-friendly, cloud-based interface accessible via mobile and web applications. The successful implementation demonstrates a practical and accessible solution that enables remote patient oversight, enhances the reliability of care, and supports proactive health management.

Keywords: Internet of Things (IoT), Remote Health Monitoring, Biosensors, NodeMCU, Arduino IoT Cloud, Vital Signs Monitoring.

Downloads: | DOI: 10.17148/IARJSET.2025.12809