Source Classification in Atrial Fibrillation Using a Machine Learning Approach
Published: Dec 30, 2019
Abstract
A precise analysis of the atrial activity (AA) signal in electrocardiogram (ECG) recordings is necessary for a better understanding of the mechanisms behind atrial fibrillation (AF).Blind source separation (BSS) techniques have proven useful in extracting the AA source from ECG recordings.However, the automated selection of the AA source among the other sources after BSS is still an issue.In this scenario, the present work proposes two...
Paper Details
Title
Source Classification in Atrial Fibrillation Using a Machine Learning Approach
Published Date
Dec 30, 2019
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