Literature DB >> 21094699

Onset dynamics of ventricular tachyarrhythmias as measured by dominant frequency.

Edward J Ciaccio1, James Coromilas, Andrew L Wit, Hasan Garan.   

Abstract

BACKGROUND: Differences in dominant frequency (DF), a measure of electrical activation rate, were used to characterize and classify ventricular tachyarrhythmias (VTA) at onset.
METHOD: In canine 3- to 5-day-old infarct border zone, monomorphic re-entrant ventricular tachycardia (MVT) was repeatedly induced by programmed electrical stimulation (14 experiments, total of 23 instances used for analysis). Ventricular fibrillation (VF) and polymorphic ventricular tachycardia (PVT) occasionally occurred (total of 23 and 4 episodes, respectively, for all experiments). For each of 196 to 312 border zone bipolar electrode recordings, the DF and DF spatial derivative (DFD) were calculated to assess electrical activity organization and were used to classify VTAs at onset. For classification, measurements were made at 1.5 and 3 seconds from last stimulus for all recording sites, and at 2.25 and 3 seconds for 3- to 7-site subsets as a test with limited data.
RESULTS: At 1.5 seconds after stimulus end, the DF/DFD magnitudes were ordered: MVT < PVT < VF (P < .001). DF/DFD trended upward in VF, downward in MVT, and lacked trend in PVT (P < .001). Based on DF/DFD magnitudes/trends, the MVT/VF classifier accuracy was 94.6% (all sites/1.5 s), 97.9% (all sites/3 s), 82.6% (subset sites/2.25 s), and 86.3% (subset sites/3 s).
CONCLUSION: VTAs are distinguishable at early onset by degree and trend in organization of electrical activity as estimated by DF and DFD. VF becomes increasingly disorganized, MVT becomes increasingly organized, and PVT remains intermediate. It may be possible to apply this technique for analysis and classification in a clinical setting using currently available special mapping catheters.
Copyright © 2011 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 21094699     DOI: 10.1016/j.hrthm.2010.11.028

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  4 in total

1.  Comparison of spectral estimators for characterizing fractionated atrial electrograms.

Authors:  Edward J Ciaccio; Angelo B Biviano; Hasan Garan
Journal:  Biomed Eng Online       Date:  2013-07-16       Impact factor: 2.819

2.  A classification scheme for ventricular arrhythmias using wavelets analysis.

Authors:  K Balasundaram; S Masse; K Nair; K Umapathy
Journal:  Med Biol Eng Comput       Date:  2012-11-07       Impact factor: 2.602

3.  A new transform for the analysis of complex fractionated atrial electrograms.

Authors:  Edward J Ciaccio; Angelo B Biviano; William Whang; James Coromilas; Hasan Garan
Journal:  Biomed Eng Online       Date:  2011-05-12       Impact factor: 2.819

4.  Identification of recurring patterns in fractionated atrial electrograms using new transform coefficients.

Authors:  Edward J Ciaccio; Angelo B Biviano; William Whang; Hasan Garan
Journal:  Biomed Eng Online       Date:  2012-01-19       Impact factor: 2.819

  4 in total

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