Literature DB >> 2452411

Morphologic differences of the endocardial electrogram in beats of sinus and ventricular origin.

G F Tomaselli1, A P Nielsen, W L Finke, L Singupta, J C Clark, J C Griffin.   

Abstract

The lack of accurate arrhythmia detection and identification is one of the major obstacles to improvement in the efficacy of antitachycardia devices. We evaluated a method for detection of beats of ventricular origin compared to sinus rhythm based on the morphology of the endocardial electrogram. In order to compare mechanically induced ventricular beats to normal sinus beats, endocardial electrograms from a standard pacing electrode were recorded from eight open-chested dogs. Time and frequency domain features analyzed included peak-to-peak amplitude (AMP), maximal slew rate (dV/dT), and frequency content (-3 dB downpoint). Quantitative morphologic comparison of the waveforms was performed using standard correlation and by the absolute area of difference between the waveform and a sinus beat template. The AMP and dV/dT for a group of ventricular beats did not differ significantly from beats of sinus origin. In the unipolar configuration -3 dB for ventricular beats was significantly different from sinus beats (p = .01), but overlap occurred in three of eight cases. Conversely, using either method of assessment of morphological differences, all ventricular beats could be identified without overlapping the values for normal beats. We concluded that morphologic analysis of the endocardial electrogram by such methods may be a highly accurate means of distinguishing between beats of sinus and ventricular origins. This technique may also be applicable to the problem of automatic rhythm identification by implanted devices.

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Year:  1988        PMID: 2452411     DOI: 10.1111/j.1540-8159.1988.tb05002.x

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  4 in total

1.  Characterisation of acute myocardial ischaemia in a canine model based on principal component analysis of unipolar endocardial electrograms.

Authors:  A Schwartzman; T Wolf; L Gepstein; G Hayam; J Lessick; D Reisfeld; Y Schwartz; G Uretzky; S A Ben-Haim
Journal:  Med Biol Eng Comput       Date:  2001-09       Impact factor: 2.602

Review 2.  Current approaches and future developments in automatic tachycardia detection and diagnosis.

Authors:  P S Astridge; G C Kaye; E J Perrins
Journal:  Br Heart J       Date:  1993-08

3.  Adaptive filters for analysis of intra-cardiac signals.

Authors:  N V Thakor
Journal:  Med Biol Eng Comput       Date:  1994-07       Impact factor: 2.602

4.  [Stored electrograms to differenciate between adequate and inadequate ICD therapy].

Authors:  D Müller; E Hoffman; M Fiek; A Grünewald; G Steinbeck
Journal:  Herzschrittmacherther Elektrophysiol       Date:  1997-03
  4 in total

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