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

OJ Escalona; RH Mitchell

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 proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	Unknown Host Publication
Editors	CH Dagli
Publisher	American Society of Mechanical Engineers
Pages	813-818
Number of pages	6
Volume	4
Publication status	Published (in print/issue) - 15 Dec 1994
Event	Artificial Neural Networks in Engineering Conference (ANNIE'94); St. Louis, MO, USA - St. Louis, MO, USA Duration: 15 Dec 1994 → …

Conference

Conference	Artificial Neural Networks in Engineering Conference (ANNIE'94); St. Louis, MO, USA
Period	15/12/94 → …

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

@inproceedings{66b7880a547d459199657441db40536a,

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

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.",

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.",

author = "OJ Escalona and RH Mitchell",

year = "1994",

month = dec,

day = "15",

language = "English",

volume = "4",

pages = "813--818",

editor = "CH Dagli",

booktitle = "Unknown Host Publication",

publisher = "American Society of Mechanical Engineers",

address = "United States",

note = "Artificial Neural Networks in Engineering Conference (ANNIE'94); St. Louis, MO, USA ; Conference date: 15-12-1994",

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TY - GEN

T1 - Fractal dimension analysis of the late potential attractor in post-MI patients as a method of at-risk discrimination

AU - Escalona, OJ

AU - Mitchell, RH

PY - 1994/12/15

Y1 - 1994/12/15

N2 - 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.

AB - 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.

KW - Bioelectric potentials

KW - Chaos theory

KW - Computational complexity

KW - Electrocardiography

KW - Fractals

KW - Patient monitoring

KW - Risks

KW - Time domain analysis

KW - At risk discrimination

KW - Fractal dimension analysis

KW - Late potential attractor

KW - Post myocardial infarction patients

KW - Neural networks.

UR - https://www.scopus.com

M3 - Conference contribution

VL - 4

SP - 813

EP - 818

BT - Unknown Host Publication

A2 - Dagli, CH

PB - American Society of Mechanical Engineers

T2 - Artificial Neural Networks in Engineering Conference (ANNIE'94); St. Louis, MO, USA

Y2 - 15 December 1994

ER -

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

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