Synthesized Atrial Fibrillation-Like ECG Using Generative Adversarial Network

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Abstract 

This is the dataset associated with the IEEE-JBHI submission "Synthesizing Electrocardiograms With Atrial Fibrillation Characteristics Using Generative Adversarial Networks". This dataset contains 4,768 synthesized atrial fibrillation (AF)-like ECG signals stored in PhysioNet MAT/HEA format.

Instructions: 

Decompress the 7z file and use it like any other dataset you downloaded from PhysioNet.

 

(For programmers) Load this dataset with the package wfdb https://github.com/MIT-LCP/wfdb-python.