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.

SwiftUI Data Visualization library for iOS. Build interactive charts with SwiftUI using Swift 5.9+, enabling clear, fast data visuals in your iOS apps. 🐙

Transfrom ad8232 data with stm32.

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

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.

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

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

Real-Time Monitoring System for A Hospital Triage Area

Transfrom ad8232 data with stm32.

Smart Healthcare Monitoring System

A IOT Health Monitoring Project (Data Collection and Saving)

A Web-based Real-time ECG Monitoring & Recording System powered by ESP32 and AD8232. Features live waveform visualization, lead-status detection, and Excel data export.

A React.js-based heart monitoring frontend using AD8232 sensor for real-time ECG visualization, health tracking, and efficient user interaction.