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

OJ Escalona, RH Mitchell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationUnknown Host Publication
EditorsCH Dagli
Pages813-818
Number of pages6
Volume4
Publication statusPublished - 15 Dec 1994
EventArtificial Neural Networks in Engineering Conference (ANNIE'94); St. Louis, MO, USA - St. Louis, MO, USA
Duration: 15 Dec 1994 → …

Conference

ConferenceArtificial Neural Networks in Engineering Conference (ANNIE'94); St. Louis, MO, USA
Period15/12/94 → …

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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.

Cite this

Escalona, OJ., & Mitchell, RH. (1994). Fractal dimension analysis of the late potential attractor in post-MI patients as a method of at-risk discrimination. In CH. Dagli (Ed.), Unknown Host Publication (Vol. 4, pp. 813-818)