Research on AI based ekg interpretation of myocardial infarction using multiple neural networks.
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Updated
Mar 25, 2026 - Jupyter Notebook
Research on AI based ekg interpretation of myocardial infarction using multiple neural networks.
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.
Real-Time Monitoring System for A Hospital Triage Area
Final Year Project
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.
"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."
design of a HD-SEMG system, using ads1298, Arduino DUE or STM32F407, INA333, AD8232 and multiple filter stages
ECG with ad8232 module.
Deep Learning Based IoT enabled Device for realtime heartbeat classification using ECG Montioring
Portable WiFi Connected IoT ECG Monitor 📈💕
University of Antioquia. Sensors. ECG meassurement with the micro chip AD8232
Source code for various biomedical sensors on STM32
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