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.
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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
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DOI: https://doi.org/10.1007/3-540-45723-2_45
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