Use of fractal dimension analysis for characterizing ventricular late potentials in the time domain

OJ Escalona, RH Mitchell, DE Balderson, DWG Harron

Research output: Contribution to journalArticle

Abstract

The presence of ventricular late potential activity in patients with post-myocardial infarction has been correlated with their susceptibility to develop ventricular tachycardia and may be used as a risk criterion. A reliable novel approach for characterizing ventricular late potentials is presented in this paper. It consists in analyzing the degree of complexity of late potentials by quantifying their fractal dimension (δ). Fractal dimensional analysis was applied to the late potential's attractor traced in the microvoltage, 3-dimensional space. The δ parameter may be interpreted as an index of the chaotic behaviour of the terminal activity of the ventricular depolarization process which could trigger a catastrophic arrhythmic episode. Clinical trial results indicated that the value of δ was significantly higher in at risk patients than in healthy subjects (p
LanguageEnglish
Pages23-34
JournalAutomedica
Volume16
Issue number1-2
Publication statusPublished - 15 Jan 1994

Fingerprint

Fractals
Fractal dimension
Depolarization
Ventricular Tachycardia
Healthy Volunteers
Myocardial Infarction
Clinical Trials

Keywords

  • Cardiovascular system
  • Chaos theory
  • Electrocardiography
  • Electrophysiology
  • Fractals
  • Mathematical models
  • Numerical analysis
  • Parameter estimation
  • Time domain analysis
  • Fractal dimensional analysis
  • Myocardial infarction
  • Ventricular late potentials
  • Ventricular tachycardia
  • Bioelectric potentials
  • Digital Filtering.

Cite this

Escalona, OJ ; Mitchell, RH ; Balderson, DE ; Harron, DWG. / Use of fractal dimension analysis for characterizing ventricular late potentials in the time domain. In: Automedica. 1994 ; Vol. 16, No. 1-2. pp. 23-34.
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Escalona, OJ, Mitchell, RH, Balderson, DE & Harron, DWG 1994, 'Use of fractal dimension analysis for characterizing ventricular late potentials in the time domain', Automedica, vol. 16, no. 1-2, pp. 23-34.

Use of fractal dimension analysis for characterizing ventricular late potentials in the time domain. / Escalona, OJ; Mitchell, RH; Balderson, DE; Harron, DWG.

In: Automedica, Vol. 16, No. 1-2, 15.01.1994, p. 23-34.

Research output: Contribution to journalArticle

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