Portable WiFi Connected IoT ECG Monitor 📈💕

Arduino ESP32 with AD8232 client software to transmit heart beat rate to MQTT server

Source code for various biomedical sensors on STM32

Cardiac Monitor usign ESP32 and AD8232.

Developing firmware for a cheap Multimodal Cardiovascular Monitoring System for detecting PPG, PCG and ECG signal using MAX30102, INMP441 and AD8232 with STM32 ARM-Cortex MCU

"A prototype for ECG monitoring using Arduino Uno and AD8232 sensor. This project includes real-time visualization of heart activity and customizable software for medical and educational purposes."

AI-Vital is a smart health system using Arduino, ESP32, and sensors to track ECG, SpO₂, BP, temp, and pulse. It IDs patients via RFID, logs data to a PHP-MySQL dashboard, and uses OpenAI and Meta's OLLAMA for AI diagnostics. Email alerts keep users updated—ideal for clinics, and smart health hubs.

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

Introducing the Portable Cardiac Monitoring System, an innovative hardware project designed with the STM32F1 series processor and advanced heart rate and ECG sensors to provide real-time cardiac health monitoring. This sleek and portable device allows you to effortlessly track your heart rate and check your ECG anytime, anywhere.

Synchronize 3 sensor MAX30102, INMP441, AD8232 for PPG, PCG and ECG signal using ESP-IDF

Simple test for ECG signal measure using AD8232 sensor and STM32 MCU

Monitoring Heart Rate (AD8232 ECG) and Pulse Oximetry (MAX30102) with an Arduino Uno WiFi Rev2

Final Year Project

Ambulatory blood pressure monitor — ESP32-S3 + MAX30102 PPG + AD8232 ECG + BLE (NimBLE) — SLIIT Final Year Project 2022

Real-Time Monitoring System for A Hospital Triage Area

AD8232 ECG acquisition and monitoring reference project with ESP32-S3 firmware, PyQt desktop UI, WebUI, CSV replay, and anomaly analysis.

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

Project for processing muscules emg signals to drive robotic hand

University of Antioquia. Sensors. ECG meassurement with the micro chip AD8232

An IoT Medical Health Monitoring System utilizing an ATmega32 MCU and Arduino bridge. It features real-time biometrics tracking including SpO2, Heart Rate (MAX30100), and ECG (AD8232). System includes an OLED display for UI, master-slave SPI/I2C communication, and a GSM module (SIM800L) for pushing health telemetry data to a remote server.