Deep Learning Guide Task Dataset

DATASET FOR: Deep Learning for Atrial Fibrillation Classification Using Single-Lead ECG This educational project introduces students to deep learning through a biomedical engineering lens. The objective is to build a binary classifier that distinguishes between normal heart rhythm and atrial fibrillation using one-lead ECG signals. Important Note: The dataset used in this task is based on real patient data but has been augmented for instructional purposes. IT IS NOT SUITABLE FOR ACADEMIC RESEARCH OR CLINICAL USE! The data has also be normalised and preprocessed for direct deep learning use. Labels: - 0 = Normal (Control) - 1 = Atrial Fibrillation