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What is ECG Anomoly Detection Using ML about?

This document outlines a project on ECG anomaly detection using machine learning, specifically employing a hybrid CNN-LSTM model for real-time monitoring. It details the integration of an AD8232 ECG sensor with an ESP32 microcontroller for data acquisition and processing, along with a preprocessing module for signal cleaning. The project aims to enhance accessibility and early diagnosis of cardiac abnormalities through an affordable and portable system.

Author

duyanng26062003

Language

EN