Atrial Activity Extraction Based on Statistical and Spectral Features

Authors:
Raúl Llinares;Jorge Igual;Addisson Salazar;Julio Miró-Borrás;Arturo Serrano
Affiliations:
Departamento de Comunicaciones, Universidad Politénica de Valencia, Alcoy (Alicante), Spain 03804;Departamento de Comunicaciones, Universidad Politénica de Valencia, Alcoy (Alicante), Spain 03804;Departamento de Comunicaciones, Universidad Politénica de Valencia, Alcoy (Alicante), Spain 03804;Departamento de Comunicaciones, Universidad Politénica de Valencia, Alcoy (Alicante), Spain 03804;Departamento de Comunicaciones, Universidad Politénica de Valencia, Alcoy (Alicante), Spain 03804
Venue:
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Year:
2009

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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.