DocumentCode
2466904
Title
Fractal dimension analysis for the detection of ventricular late potentials in the time domain
Author
Escalona, O.J. ; Mitchell, RH
Author_Institution
Northern Ireland Bio-Eng. Centre, Ulster Univ., Newtownabbey, UK
fYear
1993
fDate
5-8 Sep 1993
Firstpage
409
Lastpage
412
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
Keywords
bioelectric phenomena; electrocardiography; fractals; medical signal processing; δ parameter; 3-dimensional space; ECG; abnormal LP activity; catastrophic arrhythmic episode; chaotic behaviour; clinical study; complexity; fractal dimension analysis; microvoltage; post-myocardial infarction; reliable novel approach; risk criterion; time domain; ventricular depolarisation process; ventricular late potential detection; ventricular tachycardia; Cardiology; Chaos; Electrocardiography; Fractals; Geometry; Morphology; Myocardium; Proteins; Rhythm; Time domain analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology 1993, Proceedings.
Conference_Location
London
Print_ISBN
0-8186-5470-8
Type
conf
DOI
10.1109/CIC.1993.378417
Filename
378417
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