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Modeling the His-Purkinje Effect in Non-invasive Estimation of Endocardial and Epicardial Ventricular Activation.

Authors :
Boonstra MJ
Roudijk RW
Brummel R
Kassenberg W
Blom LJ
Oostendorp TF
Te Riele ASJM
van der Heijden JF
Asselbergs FW
Loh P
van Dam PM
Source :
Annals of biomedical engineering [Ann Biomed Eng] 2022 Mar; Vol. 50 (3), pp. 343-359. Date of Electronic Publication: 2022 Jan 24.
Publication Year :
2022

Abstract

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.<br /> (© 2022. The Author(s).)

Details

Language :
English
ISSN :
1573-9686
Volume :
50
Issue :
3
Database :
MEDLINE
Journal :
Annals of biomedical engineering
Publication Type :
Academic Journal
Accession number :
35072885
Full Text :
https://doi.org/10.1007/s10439-022-02905-4