Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network
Abstract
Heart disease is a malignant threat to human health. Electrocardiogram (ECG) tests are used to help diagnose heart disease by recording the heart’s activity. However, automated medical-aided diagnosis with computers usually requires a large volume of labeled clinical data without patients' privacy to train the model, which is an empirical problem that still needs to be solved. To address this problem, we propose a generative adversarial network...
Paper Details
Title
Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network
Published Date
May 1, 2019
Journal
Volume
9
Issue
1
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