Multichannel Electrocardiogram Decomposition Using Periodic Component Analysis

Reza Sameni 1, 2 Christian Jutten 1 Mohammad Shamsollahi 2
1 GIPSA-SIGMAPHY - SIGMAPHY
GIPSA-DIS - Département Images et Signal, GIPSA-PSD - GIPSA Pôle Sciences des Données
Abstract : In this letter, we propose the application of the generalized eigenvalue decomposition for the decomposition of multichannel electrocardiogram (ECG) recordings. The proposed method uses a modified version of a previously presented measure of periodicity and a phase-wrapping of the RR-interval, for extracting the “most periodic” linear mixtures of a recorded dataset. It is shown that the method is an improved extension of conventional source separation techniques, specifically customized for ECG signals. The method is therefore of special interest for the decomposition and compression of multichannel ECG, and for the removal of maternal ECG artifacts from fetal ECG recordings.
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Reza Sameni, Christian Jutten, Mohammad Shamsollahi. Multichannel Electrocardiogram Decomposition Using Periodic Component Analysis. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2008, 55 (8), pp.1935-1940. ⟨hal-00306449⟩

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