Fractal dimension analysis for the detection of ventricular late potentials in the time domain

OJ Escalona, RH Mitchel

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

1 Citation (Scopus)

Abstract

The presence of ventricular late potential (LP) 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 characterising and detecting abnormal LP activity is presented. It consists of analyzing the degree of complexity of LP activity by quantifying their fractal dimension (δ). Fractal dimensional analysis was applied to the LP's attractor traced in the microvoltage, 3-dimensional space. The δ parameter may be interpreted as an index for the chaotic behaviour of the terminal activity of the ventricular depolarisation process which could trigger a catastrophic arrhythmic episode. Results of a clinical study indicated that the value of δ was significantly higher in at risk patients than in healthy subjects (p1.30 can be a risk criterion.
LanguageEnglish
Title of host publicationUnknown Host Publication
Place of Publication10662 LOS VAQUEROS CIRCLE, LOS ALAMITOS, CA 90720
Pages409-412
Number of pages4
Volume20
DOIs
Publication statusPublished - 15 Dec 1993
Event20th Annual Meeting of Computers in Cardiology 1993, London - London, UK
Duration: 15 Dec 1993 → …

Publication series

NameCOMPUTERS IN CARDIOLOGY
PublisherInstitute of Electrical and Electronics Engineers (IEEE), COMPUTER SOC PRESS
ISSN (Electronic)0276-6574

Conference

Conference20th Annual Meeting of Computers in Cardiology 1993, London
Period15/12/93 → …

Fingerprint

Fractals
Ventricular Tachycardia
Healthy Volunteers
Myocardial Infarction

Keywords

  • fractals
  • medical signal processing
  • 3-dimensional space
  • ECG
  • abnormal LP activity
  • catastrophic arrhythmic episode
  • chaotic behaviour
  • complexity
  • fractal dimension analysis
  • microvoltage
  • post-myocardial infarction
  • reliable novel approach
  • risk criterion
  • time domain
  • ventricular depolarisation process
  • ventricular late potential detection
  • ventricular tachycardia
  • Bioelectric potentials
  • Cardiology
  • Cardiovascular system
  • Chaos theory
  • Correlation methods
  • Electrocardiography
  • Fractals
  • Three dimensional
  • Time domain analysis
  • Degree of complexity
  • Fractal dimension analysis
  • Post myocardial infarction
  • Ventricular depolarisation process
  • Ventricular late potentials
  • Ventricular tachycardia.

Cite this

Escalona, OJ., & Mitchel, RH. (1993). Fractal dimension analysis for the detection of ventricular late potentials in the time domain. In Unknown Host Publication (Vol. 20, pp. 409-412). (COMPUTERS IN CARDIOLOGY). 10662 LOS VAQUEROS CIRCLE, LOS ALAMITOS, CA 90720. https://doi.org/10.1109/CIC.1993.378417
Escalona, OJ ; Mitchel, RH. / Fractal dimension analysis for the detection of ventricular late potentials in the time domain. Unknown Host Publication. Vol. 20 10662 LOS VAQUEROS CIRCLE, LOS ALAMITOS, CA 90720, 1993. pp. 409-412 (COMPUTERS IN CARDIOLOGY).
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abstract = "The presence of ventricular late potential (LP) 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 characterising and detecting abnormal LP activity is presented. It consists of analyzing the degree of complexity of LP activity by quantifying their fractal dimension (δ). Fractal dimensional analysis was applied to the LP's attractor traced in the microvoltage, 3-dimensional space. The δ parameter may be interpreted as an index for the chaotic behaviour of the terminal activity of the ventricular depolarisation process which could trigger a catastrophic arrhythmic episode. Results of a clinical study indicated that the value of δ was significantly higher in at risk patients than in healthy subjects (p1.30 can be a risk criterion.",
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Escalona, OJ & Mitchel, RH 1993, Fractal dimension analysis for the detection of ventricular late potentials in the time domain. in Unknown Host Publication. vol. 20, COMPUTERS IN CARDIOLOGY, 10662 LOS VAQUEROS CIRCLE, LOS ALAMITOS, CA 90720, pp. 409-412, 20th Annual Meeting of Computers in Cardiology 1993, London, 15/12/93. https://doi.org/10.1109/CIC.1993.378417

Fractal dimension analysis for the detection of ventricular late potentials in the time domain. / Escalona, OJ; Mitchel, RH.

Unknown Host Publication. Vol. 20 10662 LOS VAQUEROS CIRCLE, LOS ALAMITOS, CA 90720, 1993. p. 409-412 (COMPUTERS IN CARDIOLOGY).

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

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Escalona OJ, Mitchel RH. Fractal dimension analysis for the detection of ventricular late potentials in the time domain. In Unknown Host Publication. Vol. 20. 10662 LOS VAQUEROS CIRCLE, LOS ALAMITOS, CA 90720. 1993. p. 409-412. (COMPUTERS IN CARDIOLOGY). https://doi.org/10.1109/CIC.1993.378417