Literature DB >> 15534816

Surface ECG vector characteristics of organized and disorganized atrial activity during atrial fibrillation.

Jason Ng1, Alan V Sahakian, Westby G Fisher, Steven Swiryn.   

Abstract

BACKGROUND: The aim of this study was to examine atrial organization from vectorcardiograms (VCGs) derived from the surface ECG of atrial fibrillatory waves.
METHODS: We retrieved ECGs recorded during ventricular asystole from 22 patients with AF undergoing ablation of the AV junction. The synthesized VCG of each f-wave cycle of each ECG and its plane of best fit, described by azimuth and elevation angles relative to the frontal plane, were computed.
RESULTS: Fifteen of the 22 ECGs had at least 30% of the planes in a single 30-degree region of azimuth angles. Of these 15, 12 had the greatest percentage of planes with azimuth angles within 30 degrees of the sagittal plane; two were near the frontal plane; and one near the right anterior oblique plane.
CONCLUSIONS: Varying degrees of organization were observed from VCGs of fibrillatory waves with the more organized examples having planes predominately near the sagittal plane.

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Mesh:

Year:  2004        PMID: 15534816     DOI: 10.1016/j.jelectrocard.2004.08.031

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  2 in total

1.  Detection and classification of cardiac ischemia using vectorcardiogram signal via neural network.

Authors:  Ali Reza Mehri Dehnavi; Iman Farahabadi; Hossain Rabbani; Amin Farahabadi; Mohamad Parsa Mahjoob; Nasser Rajabi Dehnavi
Journal:  J Res Med Sci       Date:  2011-02       Impact factor: 1.852

Review 2.  Review of Processing Pathological Vectorcardiographic Records for the Detection of Heart Disease.

Authors:  Jaroslav Vondrak; Marek Penhaker
Journal:  Front Physiol       Date:  2022-03-21       Impact factor: 4.755

  2 in total

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