Abstract
The QT interval measured on the body-surface Electrocardiogram (ECG), corresponds to the time elapsed between the depolarization of the first myocardial ventricular cell (beginning of the Q wave) and the end of the repolarisation of the last ventricular cell (end of the T wave). Abnormalities in the adaptation of the QT interval to changes in the heart rate may facilitate the development of ventricular arrhythmia. None of the formulas previously proposed for the adjustment of QT for changes in heart rate provide satisfactory correction. This due to the “memory phenomenon” (i.e. time delay) ranging up to 3-4 minutes, between a change in the heart rate and the subsequent change in the QT interval. In this paper, patient specific predictive models based on a Multi Layer Perceptron are presented and their predictive performance is tested on real and artificial data.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Holmberg, M., Holmberg, S., Herlitz, J. (ed): American Journal of Cardiol. The problem of out-of-hospital cardiac-arrest prevalence of sudden death in Europe today. (1999) 83–88
Fagundes, ML., Maia, IG., Cruz, F.E., Alves, P.A., Boghossian, S.H., Ribeiro, J.C., Sa, R.: Arq Bras Cardiol. Arrythmogenic cardomyopathy of the right ventricle. Predictive value of QT interval dispersion to assess arrythmogenic risk and sudden death. (2000) 115–124
Bazzet, H.C.: Heart. An analysis of the time-relation of eletrocardiograms. (1920) 353–370
Franz, M.R., Swedlow, C.D., Liem, L.: Cycle-Length dependence of human ventricular action potential duration in the steady and non-steady state. In: Butrous, GS., Schwartz, PJ., (eds.): Clinical aspects of ventricular repolarisation. Farrand Press London (1989) 163–174
Rubel, P., Hamidi, S., Behlouli, H.: Journal of Electrocardiology. Are serial Holter QT, late potential, and wavelet measurement clinically useful? (1996) 52–61
Lapedes, A., Farber, R.: Nonlinear signal processing using neural networks: Prediction and system modeling, Los Alamos Nat. Lab., Los Alamos, CA, Tech. Rep. (1987) LA-UR-87-2662
Arnaud, P., Rubel, P., Morlet, D., Fayn, J., Forlini, M.C.: Method Inform Med. Methodology of ECG interpretation in the Lyon program. (1990) 393–402
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Dajani, R.E., Miquel, M., Rubel, P. (2001). A Multi Layer Perceptron Approach for Predecting and Modelling the Dynamical Behavior of Cardiac Ventricular Repolarisation.. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_45
Download citation
DOI: https://doi.org/10.1007/3-540-45723-2_45
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42237-2
Online ISBN: 978-3-540-45723-7
eBook Packages: Springer Book Archive