Article

Deep representation learning of electrocardiogram reveals novel insights in cardiac structure and functions and connections to cardiovascular diseases

2023-12-07

Abstract excerpt

<h4>Background</h4> Conventional approaches to analysing electrocardiograms (ECG) in fragmented parameters (such as the PR interval) ignored the high dimensionality of data which might result in omission of subtle information content relevant the cardiac biology. Deep representation learning of ECG may reveal novel insights. <h4>Methods</h4> We finetuned an unsupervised variational auto-encoder (VAE), originally t...

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Literature Corpus work: cafc3509-68e7-555c-95ea-ced160f741fd
DOI: 10.1101/2023.12.05.23299459

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