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Dynamic behavior of ventricular late potentials : estimation of 3-dimensional fractal dimension as an index of basic order chaotic features in post-MI patients at risk and in healthy subjects.

Escalona, OJ and Mitchell, RH (1999) Dynamic behavior of ventricular late potentials : estimation of 3-dimensional fractal dimension as an index of basic order chaotic features in post-MI patients at risk and in healthy subjects. Innovation et Technologie en Biologie et Médecine, 20 (3). pp. 169-180. [Journal article]

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Abstract

The analysis of late potentials (PT) of the signal-averaged ECG is used clinically to detect patients at risk after myocardial infarction (MI). The presence of the abnormal activity of PT was correlated with the induced ventricular tachycardia (VT) using a programmed in patients post-MI electrical stimulation. A new, secure approach that quantifies the chaotic nature of the PT activity over time, is presented here. The complexity of the dynamic behavior of PT was quantified by determining the basin of attraction of the attractor of the PT in the three-dimensional map using the potential calculating the fractal dimension (δ) of the trajectory of the attractor. Therefore, the index provides a parameter δ of chaotic behavior of the end of the dynamic process of ventricular depolarization may indicate that the patient's disposition to the TV. To investigate this relationship, the parameter δ was evaluated in 30 healthy patients (Group 1) and in 30 post-MI patients who underwent TV induced by a programmed stimulation (Group 2). The results of the study indicate that the value of δ was significantly higher (more chaotic attractor) in Group 2 than in Group 1 (p <0.001). These results suggest a high correlation between the chaotic nature of the PT and the patient's willingness to arrhythmia, such as a TV. A value of δ> 1.3 can be regarded as the criterion to differentiate between post-MI patients at risk or who have a chaotic PT activity.

Item Type:Journal article
Keywords:Infarct; Myocardium; Risk analysis; Electrocardiography; Human; Signal analysis; Chaos; Quantitative analysis; Dynamic conditions; Paroxysmal ventricular tachycardia; Fractal dimension; Cardiovascular disease; Coronary heart disease; Myocardial disease; Electrodiagnosis; Heart disease; Arrhythmia; Excitability disorder.
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:29973
Deposited By: Professor Omar Escalona
Deposited On:27 Jan 2016 12:21
Last Modified:27 Jan 2016 12:21

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