Accuracy of Lead Removal vs Linear Interpolation in Non-Invasive Electrocardiographic Imaging (ECGI)

Laura Bear (1) , Mark Potse (1, 2) , Josselin Duchateau (3) , Nejib Zemzemi (2) , Yves Coudière (4, 2, 1) , Rémi Dubois (1)

1 IHU-LIRYC
2 CARMEN - Modélisation et calculs pour l'électrophysiologie cardiaque
3 CHU Bordeaux
4 IMB - Institut de Mathématiques de Bordeaux

This study examines the effect of missing body surface potentials on inverse solutions, and determines if linear interpolation can regain information lost. Using simulated and experimental data, electrograms (EGMs) were reconstructed after 1) removing and 2) interpolating 'broken' signals. Results showed that losing body surface potentials over the chest can reduce inverse reconstruction accuracy. Linear interpolation did not improve, and could further deteriorate reconstruction accuracy.

Domaines: Modélisation et simulation

Laura Bear, Mark Potse, Josselin Duchateau, Nejib Zemzemi, Yves Coudière, et al.. Accuracy of Lead Removal vs Linear Interpolation in Non-Invasive Electrocardiographic Imaging (ECGI). Computing in cardiology, Sep 2015, Nice, France. ⟨hal-01241752⟩