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Erschienen in: Medical & Biological Engineering & Computing 12/2013

01.12.2013 | Original Article

Analysis of QRS-T subtraction in unipolar atrial fibrillation electrograms

verfasst von: J. L. Salinet Jr., J. P. V. Madeiro, P. C. Cortez, P. J. Stafford, G. André Ng, F. S. Schlindwein

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 12/2013

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Abstract

This paper presents a QRS-T subtraction approach for atrial fibrillation (AF) intracardiac atrial electrograms (AEG). It also presents a comparison between the proposed method and two alternative ventricular subtraction techniques: average beat subtraction (ABS) using a fixed length window and an approach based on flat interpolation for QRS cancellation. Areas of the atrium close to the mitral valve showed stronger ventricular influence on the AEGs when compared with the remaining atrial regions. Ventricular influence affects the spectral power distribution of the AEG and can also affect the estimation of the dominant frequency unless the whole ventricular activity influence (QRS-T) is removed. The average power after QRS-T subtraction is significantly reduced for frequencies above 10 Hz (mostly associated with QRS complexes), as well as for frequencies between 3 and 5.5 Hz, (mostly related to T waves). The results indicate that the proposed approach removes ventricular influence on the AF AEGs better than the QRS cancellation method. Spectral analysis showed that both the ABS and the proposed method do well and no method should be preferred to the other. In the time domain, the proposed approach is matched to the lengths and timings of onset and offset for individual QRS-T segments while the ABS approach uses an arbitrary length around the QRS for the pattern used for QRS-T removal.

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Metadaten
Titel
Analysis of QRS-T subtraction in unipolar atrial fibrillation electrograms
verfasst von
J. L. Salinet Jr.
J. P. V. Madeiro
P. C. Cortez
P. J. Stafford
G. André Ng
F. S. Schlindwein
Publikationsdatum
01.12.2013
Verlag
Springer Berlin Heidelberg
Erschienen in
Medical & Biological Engineering & Computing / Ausgabe 12/2013
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-013-1071-4

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