Modeling the His-Purkinje Effect in Non-invasive Estimation of Endocardial and Epicardial Ventricular Activation
Publication year
2022Source
Annals of Biomedical Engineering, 50, 3, (2022), pp. 343-359ISSN
Publication type
Article / Letter to editor

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Organization
Cognitive Neuroscience
Journal title
Annals of Biomedical Engineering
Volume
vol. 50
Issue
iss. 3
Page start
p. 343
Page end
p. 359
Subject
Radboudumc 3: Disorders of movement DCMN: Donders Center for Medical NeuroscienceAbstract
Inverse electrocardiography (iECG) estimates epi- and endocardial electrical activity from body surface potentials maps (BSPM). In individuals at risk for cardiomyopathy, non-invasive estimation of normal ventricular activation may provide valuable information to aid risk stratification to prevent sudden cardiac death. However, multiple simultaneous activation wavefronts initiated by the His-Purkinje system, severely complicate iECG. To improve the estimation of normal ventricular activation, the iECG method should accurately mimic the effect of the His-Purkinje system, which is not taken into account in the previously published multi-focal iECG. Therefore, we introduce the novel multi-wave iECG method and report on its performance. Multi-wave iECG and multi-focal iECG were tested in four patients undergoing invasive electro-anatomical mapping during normal ventricular activation. In each subject, 67-electrode BSPM were recorded and used as input for both iECG methods. The iECG and invasive local activation timing (LAT) maps were compared. Median epicardial inter-map correlation coefficient (CC) between invasive LAT maps and estimated multi-wave iECG versus multi-focal iECG was 0.61 versus 0.31. Endocardial inter-map CC was 0.54 respectively 0.22. Modeling the His-Purkinje system resulted in a physiologically realistic and robust non-invasive estimation of normal ventricular activation, which might enable the early detection of cardiac disease during normal sinus rhythm.
This item appears in the following Collection(s)
- Academic publications [229097]
- Electronic publications [111477]
- Faculty of Medical Sciences [87745]
- Open Access publications [80311]
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