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Unsupervised feature learning for electrocardiogram data using the convolutional variational autoencoder

Fig 2

Visualization of (a) t-Stochastic Neighbor Embedding (t-SNE) and (b) Locally Linear Embedding (LLE) in two-dimensional space for normal sinus rhythms and arrhythmias. Normal sinus rhythms are shown as blue clusters while arrhythmias are shown as red clusters. It shows that feature vectors can represent the differences between normal and arrhythmic rhythms although the model was trained without any label. Abbreviations: SR: normal sinus rhythm; ST: sinus tachycardia; SVT: supraventricular tachycardia; AFIB: atrial fibrillation.

Fig 2

doi: https://doi.org/10.1371/journal.pone.0260612.g002