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Fractal dimension analysis of the late potential attractor in post-MI patients as a method of at-risk discrimination

Escalona, OJ and Mitchell, RH (1994) Fractal dimension analysis of the late potential attractor in post-MI patients as a method of at-risk discrimination. In: Artificial Neural Networks in Engineering Conference (ANNIE'94); St. Louis, MO, USA, St. Louis, MO, USA. ASME, New York, NY, USA. Vol 4 (1) 6 pp. [Conference contribution]

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Abstract

A novel and reliable approach which quantifies the degree of complexity of Late Potential (LP) activity in the time domain is presented. By defining the LP attractor in the microvoltage, 3-dimensional space, and then computing the fractal dimension (δ) of the attractor's trajectory, the degree of complexity of LP was quantified with a single parameter. δ may indicate the chaotic behaviour of the terminal activity of the ventricular depolarization process. A value of δ > 1.3 may be considered as the criterion for discriminating post-MI patients that are at risk.

Item Type:Conference contribution (Paper)
Keywords:Bioelectric potentials; Chaos theory; Computational complexity; Electrocardiography; Fractals; Patient monitoring; Risks; Time domain analysis; At risk discrimination; Fractal dimension analysis; Late potential attractor; Post myocardial infarction patients; Neural networks.
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:30025
Deposited By: Professor Omar Escalona
Deposited On:08 Feb 2016 14:22
Last Modified:08 Feb 2016 14:22

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