Literature DB >> 11232610

Use of correlation waveform analysis in discrimination between anterograde and retrograde atrial electrograms during ventricular tachycardia.

S Saba1, R Gorodeski, S Yang, D MacAdam, M S Link, M K Homoud, N A Estes, P J Wang.   

Abstract

INTRODUCTION: Discriminating between ventricular tachycardia (VT) with 1:1 ventriculoatrial association and sinus tachycardia can be difficult, even when assisted by intracardiac tracings. In this study, we used a new computer algorithm to perform correlation waveform analyses on intracardiac atrial electrograms to help distinguish between VT and sinus tachycardia. METHODS AND
RESULTS: Electrophysiologic studies of 28 patients (22 men; age 66 +/- 14 years) with inducible VT and mean ejection fraction of 37% +/- 16% were analyzed. A template of an intracardiac high right atrial electrogram was obtained during sinus rhythm (SR). Atrial electrograms during SR and VT were compared with the template using the new algorithm, and correlation coefficients (rho) were generated. The correlation coefficient of SR beats with the template was 96.4% +/- 3.4%. During VT with AV dissociation and persistent SR, rho was 94.5% +/- 3.7% (P = NS). During VT with 1:1 retrograde conduction, rho was 70.6% +/- 11.3% (P < 0.0001). At a cutoff of 85%, rho had positive and negative predictive values of 99% and 96%, respectively.
CONCLUSION: Our findings indicate that the new algorithm can reliably separate between anterograde and retrograde atrial activation during VT. It can, therefore, discriminate between sinus tachycardia and VT with 1:1 ventriculoatrial conduction and may be useful in preventing inappropriate shocks from dual chamber defibrillators.

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Year:  2001        PMID: 11232610     DOI: 10.1046/j.1540-8167.2001.00145.x

Source DB:  PubMed          Journal:  J Cardiovasc Electrophysiol        ISSN: 1045-3873


  2 in total

1.  Testing of a new T-wave subtraction algorithm as an aid to localizing ectopic atrial beats.

Authors:  John P Marenco; Hiroshi Nakagawa; Shawn Yang; David MacAdam; Lucien Xu; Ding S He; Mark S Link; Munther K Homoud; N A Mark Estes III; Paul J Wang
Journal:  Ann Noninvasive Electrocardiol       Date:  2003-01       Impact factor: 1.468

2.  An Adaptive Seismocardiography (SCG)-ECG Multimodal Framework for Cardiac Gating Using Artificial Neural Networks.

Authors:  Jingting Yao; S Tridandapani; W F Auffermann; C A Wick; P T Bhatti
Journal:  IEEE J Transl Eng Health Med       Date:  2018-10-08       Impact factor: 3.316

  2 in total

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