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

Mitchell, RH and Escalona, OJ (1988) Discriminating at-risk post-MI patients by fractal dimension analysis of the late potential attractor. In: 20th Annual International Conference of the IEEE EMBS, EMBC-1998, Hong Kong, Hong Kong. Institute of Electrical and Electronics Engineers (IEEE). Vol 20 (3) 3 pp. [Conference contribution]

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URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=747193

DOI: 10.1109/IEMBS.1998.747193


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<0.001). δ may be considered as the criterion for discrimination. Fractal dimension analysis on LP is a novel diagnostic approach aimed at quantifying their complexity in the microvoltage 3-D space, and may be interpreted as a measure of their chaotic behaviour triggering a catastrophic arrhythmic episode.

Item Type:Conference contribution (Paper)
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.
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:30036
Deposited By: Professor Omar Escalona
Deposited On:08 Feb 2016 14:22
Last Modified:08 Feb 2016 14:22

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