Electrocardiogram Generation and Feature Extraction Using a Variational Autoencoder

Understand

We propose a method for generating an electrocardiogram (ECG) signal for one cardiac cycle using a variational autoencoder.

• Using this method we extracted a vector of new 25 features, which in many cases can be interpreted.
• The generated ECG has quite natural appearance.
• The low value of the Maximum Mean Discrepancy metric, 0.00383, indicates good quality of ECG generation too.