MicroECG is a final year project – a low-cost, WiFi-enabled, single-lead ECG monitor built with ESP8266 and AD8232. It streams real-time heart data to any browser using a captive portal and WebSocket—no apps, no internet, no external setup. It includes parameter extraction, recording, and optional AI-based anomaly detection.

This is a simple ECG recorder using the AD8232 chip and an Arduino Uno.

Transfrom ad8232 data with stm32.

An App that shows the Ecg Sensor readings from AD8232 attached with Pi Pico W and sends the data to an SwiftUI app which uses Swift Charts to Visualize the received data from Bluetooth

Smart Healthcare Monitoring System

Research on AI based ekg interpretation of myocardial infarction using multiple neural networks.

This system measures heart rate, temperature, and SpO2 levels using real-time sensors. Includes fall detection via MPU sensor—ideal for elderly or patient care. Health data is shown on a live dashboard, enabling remote monitoring, early alerts, and smart health management.

Transfrom ad8232 data with stm32.