Abstract
This paper deals with the problem of estimating atrial activity during atrial fibrillation periods in the electrocardiogram (ECG). Since the signal of interest differs in kurtosis sign from the dominant sources in the ECG, we propose an independent component analysis method for source extraction based on the different kurtosis sign and extend it with a constraint of spectral concentration in the 3-12Hz frequency band. Results show that we are able to estimate the atrial fibrillation with a single algorithm having low computational complexity (Ο(7n-7)T). © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Phlypo, R., Zarzoso, V., Comon, P., D’Asseler, Y., & Lemahieu, I. (2007). Extraction of atrial activity from the ECG by spectrally constrained ICA based on kurtosis sign. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4666 LNCS, pp. 641–648). Springer Verlag. https://doi.org/10.1007/978-3-540-74494-8_80
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