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CNN for ECG Atrial Fibrillation Classification by jean23122004 is a document available to read on EtoBox.

The project focuses on using Convolutional Neural Networks (CNNs) to classify Atrial Fibrillation (AF) from ECG signals, aiming to improve patient outcomes through timely detection. It involves preprocessing ECG data, training a CNN model, and evaluating its performance based on accuracy and other metrics. The report also details the mathematical foundations of the CNN architecture, including forward and backward propagation processes for various layers.

Author

jean23122004

Language

EN