Discriminating at-risk post-MI patients by fractal dimension analysis of the late potential attractor

RH Mitchell, OJ Escalona

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 can be quantified with a single parameter. δ may indicate the chaotic behaviour of the terminal activity of the ventricular depolarisation process. The fractal dimension of the LP Attractor in post-MI subjects that are at risk is significantly higher than in post-MI subjects with low LP activity (p
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages1573-1575
Number of pages3
Volume20
DOIs
Publication statusPublished - 15 Nov 1988
Event20th Annual International Conference of the IEEE EMBS, EMBC-1998, Hong Kong - Hong Kong
Duration: 15 Nov 1988 → …

Conference

Conference20th Annual International Conference of the IEEE EMBS, EMBC-1998, Hong Kong
Period15/11/88 → …

Fingerprint

trajectory
analysis
parameter

Keywords

  • At-risk post-MI patients discrimination
  • catastrophic arrhythmic episode
  • degree of complexity
  • deterministic chaos
  • fractal dimension analysis
  • bi- directional high-pass filtering
  • late potential activity
  • late potential attractor
  • microvoltage 3D space
  • myocardial infarct
  • phase space
  • single parameter
  • QRS terminal activity
  • time domain
  • ventricular depolarisation process
  • chaos
  • electrocardiography
  • filtering theory
  • fractals
  • medical signal detection
  • medical signal processing
  • phase space methods
  • ECG.

Cite this

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title = "Discriminating at-risk post-MI patients by fractal dimension analysis of the late potential attractor",
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 can be quantified with a single parameter. δ may indicate the chaotic behaviour of the terminal activity of the ventricular depolarisation process. The fractal dimension of the LP Attractor in post-MI subjects that are at risk is significantly higher than in post-MI subjects with low LP activity (p",
keywords = "At-risk post-MI patients discrimination, catastrophic arrhythmic episode, degree of complexity, deterministic chaos, fractal dimension analysis, bi- directional high-pass filtering, late potential activity, late potential attractor, microvoltage 3D space, myocardial infarct, phase space, single parameter, QRS terminal activity, time domain, ventricular depolarisation process, chaos, electrocardiography, filtering theory, fractals, medical signal detection, medical signal processing, phase space methods, ECG.",
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Mitchell, RH & Escalona, OJ 1988, Discriminating at-risk post-MI patients by fractal dimension analysis of the late potential attractor. in Unknown Host Publication. vol. 20, pp. 1573-1575, 20th Annual International Conference of the IEEE EMBS, EMBC-1998, Hong Kong, 15/11/88. https://doi.org/10.1109/IEMBS.1998.747193

Discriminating at-risk post-MI patients by fractal dimension analysis of the late potential attractor. / Mitchell, RH; Escalona, OJ.

Unknown Host Publication. Vol. 20 1988. p. 1573-1575.

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

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