Machine learning helps pinpoint sources of the most common cardiac arrhythmia

Summary:

Researchers from Skoltech and their US colleagues have designed a new machine learning-based approach for detecting atrial fibrillation drivers, small patches of the heart muscle that are hypothesized to cause this most common type of cardiac arrhythmia. 

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29|10|2020

Source:

ErekAlert!

https://www.eurekalert.org/pub_releases/2020-10/sios-mlh102920.php