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Personalized Modeling of Atrial Activation and P-waves: a Comparison Between Invasive and Non-Invasive Cardiac Mapping

Martínez Díaz, Patricia ORCID iD icon 1; Sánchez, Jorge 1; Nagel, Claudia 1; Martinez Perez, Marta; Hernández-Romero, Ismael; Guillem, María S.; Dössel, Olaf 1; Loewe, Axel ORCID iD icon 1
1 Institut für Biomedizinische Technik (IBT), Karlsruher Institut für Technologie (KIT)

Abstract:

Biatrial personalized models incorporating functional and anatomical features are becoming a promising tool for planning therapy for patients with atrial fibrillation (AF). Conduction velocity (CV) is one of the main features to be matched during the process of functional personalization, as it can identify electrical abnormalities in the cardiac tissue. The spatial distribution of CV can be estimated from local activation times (LAT) maps from non-invasive electrocardiographic imaging (ECGI) or invasive electroanatomical mapping systems (EAMS). We investigated the effect of using either invasive LAT maps from EAMS or non-invasive LAT maps from ECGI to personalize two biatrial models by comparing the virtual P-waves obtained from these LAT maps with the measured P-waves from the surface electrocardiogram (ECG). For both modalities – ECGI and EAMS – we found a qualitative match between simulated and measured P-waves but observed quantitative differences. The root-mean-square error (RMSE) between measured and simulated signals for patient A was 0.26±0.11 mV and 0.38±0.31 mV, while for patient B it was 0.21±0.09 mV and 0.14±0.05 mV for EAMS and ECGI, respectively. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000158442
Veröffentlicht am 17.05.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Biomedizinische Technik (IBT)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2022
Sprache Englisch
Identifikator ISBN: 979-83-503-0097-0
ISSN: 2325-887X
KITopen-ID: 1000158442
Erschienen in 2022 Computing in Cardiology Conference (CinC)
Veranstaltung 49th Computing in Cardiology (CinC 2022), Tampere, Finnland, 04.09.2022 – 07.09.2022
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Serie Computing in Cardiology Conference (CinC)
Nachgewiesen in Scopus
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