Ulster University Logo

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

Escalona, OJ, Mitchell, RH, Balderson, DE and Harron, DWG (1994) Use of fractal dimension analysis for characterizing ventricular late potentials in the time domain. Automedica, 16 (1-2). pp. 23-34. [Journal article]

Full text not available from this repository.


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<0.001). A value of δ greater than 1.30 may be considered as the criterion for discriminating post-myocardial infarction patients that are at risk or as being LP positive.

Item Type:Journal article
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.
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Engineering
Research Institutes and Groups:Engineering Research Institute
Engineering Research Institute > Nanotechnology & Integrated BioEngineering Centre (NIBEC)
ID Code:29991
Deposited By: Professor Omar Escalona
Deposited On:08 Feb 2016 14:26
Last Modified:08 Feb 2016 14:26

Repository Staff Only: item control page