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Atrial fibrillatory signal estimation using blind source extraction algorithm based on high-order statistics

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Abstract

The analysis and the characterization of atrial fibrillation (AF) requires, in a previous key step, the extraction of the atrial activity (AA) free from 12-lead electrocardiogram (ECG). This contribution proposes a novel non-invasive approach for the AA estimation in AF episodes. The method is based on blind source extraction (BSE) using high order statistics (HOS). The validity and performance of this algorithm are confirmed by extensive computer simulations and experiments on real-world data. In contrast to blind source separation (BSS) methods, BSE only extract one desired signal, and it is easy for the machine to judge whether the extracted signal is AA source by calculating its spectrum concentration, while it is hard for the machine using BSS method to judge which one of the separated twelve signals is AA source. Therefore, the proposed method is expected to have great potential in clinical monitoring.

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Authors and Affiliations

  1. School of life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China

    Gang Wang & NiNi Rao

  2. School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China

    Ying Zhang

Authors
  1. Gang Wang
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  2. NiNi Rao
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  3. Ying Zhang
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Corresponding author

Correspondence to NiNi Rao.

Additional information

Supported by the project of the Training Foundation of Sichuan Academic and Technical Leaders (Grant No. 901008); the project of application groundwork of Sichuan (Grant No. J13 - 075) and the Training Plans of Young and Middle Elite of University of Electronic Science and Technology of China (Grant No. 601016)

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Wang, G., Rao, N. & Zhang, Y. Atrial fibrillatory signal estimation using blind source extraction algorithm based on high-order statistics. Sci. China Ser. F-Inf. Sci. 51, 1572–1584 (2008). https://doi.org/10.1007/s11432-008-0105-2

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  • DOI: https://doi.org/10.1007/s11432-008-0105-2

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