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). Predictive models of the QT dynamical behavior are believed to be a useful tool to detect abnormalities in QT adaptation for heart rate changes. In this paper, patient specific predictive models based on a Multi Layer Perceptrons are presented and their predictive performances are tested on real and artificial data.
CITATION STYLE
El Dajani, R., Miquel, M., Forlini, M. C., & Rubel, P. (2001). Modeling of ventricular repolarisation time series by multi-layer perceptrons. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2101, pp. 152–155). Springer Verlag. https://doi.org/10.1007/3-540-48229-6_23
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