DocumentCode :
2952933
Title :
Prediction of ventricular fibrillation based on the ST-segment deviation: Allometric model
Author :
Arini, Pedro D. ; Bonomini, María P. ; Valentinuzzi, Max E.
Author_Institution :
Inst. Argentino de Mat. (IAM), Univ. de Buenos Aires, Buenos Aires, Argentina
fYear :
2010
fDate :
Aug. 31 2010-Sept. 4 2010
Firstpage :
2009
Lastpage :
2012
Abstract :
Based on some reported clinical data, we attempt to apply the allometric law for evaluating the probability of ventricular fibrillation when electrocardiographic ST-segment deviations are determined. The deviation is measured in millimeters at the standard calibration of 1mV = 10mm and the probability in percent. Using the equation VFP = δ + β (ST) in log-log representation, the fitting procedure produced the following overall coefficients: Average β = 1.11, with a maximum = 1.65 and a minimum = 0.78; Average δ = 0.83, with a maximum = 1.39 and a minimum = 0.41. For a 2mm ST-deviation, the full range of predicted ventricular fibrillation probability extended from about 6% at 1 month up to 47% at 4 years after the original cardiac event. These results, at least preliminarily, appear acceptable and still call for full clinical test. The model seems promising if other parameters were taken into account, such as cardiac enzyme concentration, ischemic or infarcted epicardial areas or ejection fraction. It is concluded, considering these results and a few references found in the literature, that the allometric model shows promising features in cardiology.
Keywords :
biochemistry; biomedical measurement; electrocardiography; enzymes; medical diagnostic computing; patient diagnosis; probability; allometric model; biomedical measurement; cardiac enzyme concentration; cardiology; clinical data; electrocardiography; infarcted epicardial areas; ischemic areas; probability; ventricular fibrillation; Dispersion; Equations; Fibrillation; Heart; Lead; Mathematical model; Algorithms; Arrhythmias, Cardiac; Calibration; Electrocardiography; Humans; Models, Biological; Models, Theoretical; Probability; Reference Values; Signal Processing, Computer-Assisted; Ventricular Fibrillation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4123-5
Type :
conf
DOI :
10.1109/IEMBS.2010.5627871
Filename :
5627871
Link To Document :
بازگشت