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Methods and results of noninvasive detection of ventricular late potentials

  • Edward J. Berbari
  • Leonard Decarlo
  • Karen J. Friday
  • Warren M. Jackman
Chapter
Part of the Developments in Cardiovascular Medicine book series (DICM, volume 71)

Abstract

In 1973, Boineau and Cox [1] showed that electrograms from ischemic regions of the canine heart were delayed and fractionated. Waldo and Kaiser [2] described bridging of the diastolic interval with low level electrical activity. Then Scherlag et al. [3], Hope et al. [4], Williams et al. [5] and El-Sherif et al. [6, 7], all working in the same laboratory, evolved an animal model for monitoring and relating this delayed or continuous electrical activity to the generation of ventricular arrhythmias. A wide variety of observations verified the relationship between late potentials and ventricular arrhythmias. These included patterns such as 2:1 block in the ischemic/infarct zone as well as progressive beat-by-beat prolongation of late potentials evolving to continuous electrical activity anteceding ectopic ventricular discharges and ventricular tachycardia. Other studies [8–10] also described prolongation and conduction block of late potentials as a function of heart rate and drugs. Multi-electrode epicardial mapping by El-Sherif et al. [11] and Wit et al. [12] has further verified these late activated areas as the substrate of reentry. An editorial comment by Josephson and Wit [13] clearly emphasizes the role of continuous electrical activity in defining reentry as a mechanism of ventricular tachycardia. Initial studies in man on late potentials were reported by Josephson et al. [14] and Fontaine et al. [15] which were recorded from the endocardial and epicardial surface, respectively, of patients with ventricular tachycardia.

Keywords

Ventricular Tachycardia Ventricular Arrhythmia Antiarrhythmic Drug Normal Sinus Rhythm Atrial Pace 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Martinus Nijhoff Publishers, Dordrecht 1987

Authors and Affiliations

  • Edward J. Berbari
    • 1
  • Leonard Decarlo
    • 1
  • Karen J. Friday
    • 1
  • Warren M. Jackman
    • 1
  1. 1.University of Oklahoma Health Sciences Center and Veterans Administration Medical CenterOklahoma CityUSA

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