Design and Evaluation of a Real Time IOT Health Monitoring System

Remote health supervision benefits from continuous sensing and timely alerts, especially when physiological changes and environmental hazards may occur simultaneously. This paper presents a low cost, ESP32 based IoT monitoring platform that integrates multiple sensors to collect vital, environmental and context signals in real time. The proposed system measures heart rate and oxygen saturation using a MAX30100 module, acquires single lead ECG using an AD8232 frontend, monitors ambient temperature via a DHT11 sensor, detects carbon monoxide exposure trends using an MQ7 sensor, includes a pressure sensor for additional status/context sensing, and provides GPS based location reporting using a NEO6M module for emergency scenarios. An LCD provides local visualization of key readings. Measurements are streamed over WiFi to a mobile/cloud dashboard and threshold based event detection generates real time notifications for abnormal conditions. The prototype demonstrates end to end data acquisition, local display, live mobile visualization, and alert generation in a compact and cost effective implementation suitable for educational and rapid prototyping deployments.