Amri95/ECG-Atrial-Fibrillation-Classification-Using-CNN

This is a CNN based model which aims to automatically classify the ECG signals of a normal patient vs. a patient with AF and has been trained to achieve up to 93.33% validation accuracy. The dataset details are given at the How to use section.

Jupyter Notebook