An advanced ECG anomaly detection system using deep learning. This repository contains a CNN autoencoder trained on the PTBDB dataset to identify abnormal heart rhythms. It employs various loss functions for model optimization and provides comprehensive visualizations of the results.
machine-learning
deep-learning
tensorflow
data-visualization
autoencoder
anomaly-detection
cardiology
healthcare-ai
ecg-analysis
ptbdb-dataset
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Updated
Oct 23, 2023 - Jupyter Notebook