Synthesized Atrial Fibrillation-Like ECG Using Generative Adversarial Network

Citation Author(s):
Xianglong
Wang
Submitted by:
Xianglong Wang
Last updated:
Tue, 07/21/2020 - 15:53
DOI:
10.21227/526v-j619
Data Format:
7z (PhysioNet MAT/HEA)
License:
Creative Commons Attribution
913 Views
Categories:
Artificial Intelligence
Machine Learning
Biomedical and Health Sciences
Biophysiological Signals
Keywords:
ECG, electrocardiography, GAN, data synthesis, data augmentation, atrial fibrillation
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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.

Comments

Thanks a lot

Submitted by sudha s on Thu, 02/03/2022 - 23:49

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