animikhaich / ECG-Atrial-Fibrillation-Classification-Using-CNNView on GitHub
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.
53Mar 21, 2021Updated 5 years ago

Alternatives and similar repositories for ECG-Atrial-Fibrillation-Classification-Using-CNN

Users that are interested in ECG-Atrial-Fibrillation-Classification-Using-CNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.

Sorting:

Are these results useful?