Abstract
Atrial fibrillation is the most common human arrhythmia. The analysis of the associated atrial activity provides features of clinical relevance. Previously, the extraction of the atrial signal is necessary. We follow the semi Blind Source Extraction S-BSE approach to solve the problem. The proposed algorithm satisfies the prior knowledge about the atrial signal: its statistical properties and its spectral content. The introduction of this prior information allows obtaining a new algorithm with the following advantages: it allows the extraction of only the atrial component and it improves the quality of the recovered atrial signal in terms of spectral concentration as we show in the results.
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Llinares, R., Igual, J., Salazar, A., Miró-Borrás, J., Serrano, A. (2009). Atrial Activity Extraction Based on Statistical and Spectral Features. In: Adali, T., Jutten, C., Romano, J.M.T., Barros, A.K. (eds) Independent Component Analysis and Signal Separation. ICA 2009. Lecture Notes in Computer Science, vol 5441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00599-2_57
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DOI: https://doi.org/10.1007/978-3-642-00599-2_57
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