Dynamics of Ventricular Electrophysiology Are Unmasked Through Noninvasive Electrocardiographic Imaging

Job Stoks*, Bianca van Rees, Uyen Nguyen, Ralf Peeters, Paul Volders, Matthijs Cluitmans

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

7 Downloads (Pure)


Dynamic variability of ventricular activation and recovery can be a physiological phenomenon, but is also known to increase susceptibility to arrhythmias. It has been extensively studied on the 12-lead electrocardiogram (ECG), but subtle (patho)physiological variations may be challenging to detect and localize due to the limited spatial resolution. Electrocardiographic imaging (ECGI) could be a useful noninvasive high-resolution mapping technique to investigate ventricular dynamics in more detail. Ventricular activation and recovery times (ATs and RTs) were examined using ECGI in 10 normal subjects. Zero-th order Tikhonov regularization was used in combination with a spatiotemporal estimation method to determine ATs and RTs. Dynamics were defined as standard deviations of ventricular ATs and RTs over three beats. Dynamics were higher for recovery than for activation during sinus rhythm, and significantly exaggerated after ventricular ectopy. Left ventricular areas were less dynamic than right ventricular areas. Since arrhythmias may arise due to an increase in ventricular dynamics in the diseased heart, these results provide an important basis for future research on ventricular dynamics and arrhythmias.
Original languageEnglish
Title of host publication2021 COMPUTING IN CARDIOLOGY (CinC)
Number of pages4
Publication statusPublished - 2021
Event2021 Computing in Cardiology (CinC) - Brno, Czech Republic, Brno, Czech Republic
Duration: 13 Sept 202115 Sept 2021

Publication series

SeriesComputing in Cardiology Conference


Conference2021 Computing in Cardiology (CinC)
Country/TerritoryCzech Republic
Internet address



Cite this