IAM   02674
INSTITUTO ARGENTINO DE MATEMATICA ALBERTO CALDERON
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Analysis of an Electrocardiographic Multilead System by Means of Artificial Neural Networks: Study of Repolarization During Premature Ventricular Stimulation
Autor/es:
TORKAR D; ARINI P.D.
Reunión:
Conferencia; BIOSIGNALS 2016 : The 9th International Conference on Bio-inspired Systems and Signal Processing; 2016
Resumen:
The ventricular repolarization dispersion (VRD) has been shown to increase with premature stimulation. Moreover,  several differences between left ventricular  and right ventricular,  such as the anatomic properties and fibrillation threshold have been reported. However, few data exist regarding the influence of the site of stimulation on modulation of VRD measure by electrocardiographic. In the present work, several ECG indices of VRD, as a function of the coupling interval and the site of stimulation, were studied in an isolated heart rabbit preparation (n=18), using ECG multilead (5 rows x 8 columns) system with Artificial Neural Networks.  In both ventricles, results have shown  significant decreases in early repolarization duration, while in the left ventricle we have found significant  increases of transmural dispersion. Also, we have observed that when the premature stimuli were applied to the left ventricle, the ventricular repolarization dispersion  changes were detected using only one preferential electrode (row1-column3). When stimuli were elicited at the right ventricle, changes of VRD were detected by  three electrodes (row3-column1, row2-column1 and row3-column8). Finally, a different ventricular repolarization dispersion  was found as a function of the site of stimulation.