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

Escalona, OJ and Mitchel, RH (1993) Fractal dimension analysis for the detection of ventricular late potentials in the time domain. In: 20th Annual Meeting of Computers in Cardiology 1993, London, London, UK. Institute of Electrical and Electronics Engineers (IEEE), COMPUTER SOC PRESS. Vol 20 (1) 4 pp. [Conference contribution]

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URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=378417

DOI: 10.1109/CIC.1993.378417

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 (p<0.001), and suggested that a value of δ>1.30 can be a risk criterion.

Item Type:Conference contribution (Paper)
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.
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:6091
Deposited By: Professor Omar Escalona
Deposited On:08 Feb 2016 14:20
Last Modified:08 Feb 2016 14:20

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