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Multichannel electrocardiogram decomposition using periodic component analysis

Sameni, R ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/TBME.2008.919714
  3. Publisher: 2008
  4. Abstract:
  5. 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. © 2006 IEEE
  6. Keywords:
  7. Eigenvalues and eigenfunctions ; Electrocardiography ; Separation ; Data sets ; ECG signals ; Electrocardiogram (ECG) ; Fetal ECG ; Generalized eigenvalue decomposition ; Linear mixtures ; Maternal ECG ; Multi channel (MC) ; Periodic components ; Source separation ; Electrochromic devices ; Analysis ; Periodic component analysis ; RR interval ; Algorithms ; Artificial intelligence ; Cardiotocography ; Diagnosis, computer-assisted ; Oscillometry ; Pattern recognition, automated ; Periodicity ; Principal component analysis
  8. Source: IEEE Transactions on Biomedical Engineering ; Volume 55, Issue 8 , August , 2008 , Pages 1935-1940 ; 00189294 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/4463649