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Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
Published on: April 26, 2024
Extraction of the atrial activity from the ECG based on independent component analysis with prior knowledge of the
Ronald Phlypo1, Yves D'Asseler, Ignace Lemahieu
1University of Ghent, De Pintelaan 185, Blok B, 9000 Ghent, Belgium. ronald.phlypo@ugent.be
Abstract:
In this work it will be shown that a contrast for independent component analysis based on prior knowledge of the source kurtosis signs (ica-sks) is able to extract atrial activity from the electrocardiogram when a constrained updating is introduced. A spectral concentration measure is used, only allowing signal pair updates when spectral concentration augments. This strategy proves to be valid for independent source extraction with priors on the spectral concentration. Moreover, the method is computationally attractive with a very low complexity compared to the recently proposed methods based on spatiotemporal extraction of the atrial fibrillation signal.
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