Low Power Wearable ECG and Health Monitoring System for Multiple-Patient

The growing need for remote healthcare services requires the design of effective and scalable patient monitoring systems. This research suggests an IoT-based healthcare monitoring system that combines ECG sensors, microcontrollers, cloud computing, and web-based interfaces to facilitate real-time health monitoring. The system design includes sensors to record physiological signals, a microcontroller for preprocessing data, and an IoT module to send the data to a cloud server. The data can be accessed remotely by healthcare professionals through a web interface, allowing timely diagnosis and intervention. Experimental data prove the high efficiency of the system, with 98.5% accuracy of the ECG signal, a data transmission latency of 120 ms, and a cloud processing time of 1.2 s. The system also proved to have a 99.2% uptime, reflecting stability and reliability. These results support the effectiveness of the system in improving remote patient monitoring and health accessibility. The solution proposed provides a cost-effective and scalable means for enhancing healthcare services, especially in remote and underserved communities.