Welcome to the ECG Signal Classification Project repository. This project is split into two parts, each addressing a different aspect of ECG signal analysis using deep learning techniques:
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PTBDB Dataset Classification
This part focuses on binary classification, distinguishing between normal and abnormal heartbeat signals using the PTB dataset.
Heartbeat Classification Markdown -
MIT-BIH Dataset Classification
This section deals with multi-class classification, categorizing ECG beats into five classes using the MIT-BIH Arrhythmia Database.
ECG Beat Classification Markdown