Skip to Main content Skip to Navigation
Conference papers

Local Conduction Velocity Mapping for Electrocardiographic Imaging

Abstract : Slow conduction is a well-known pro-arrhythmic feature for tachycardia and fibrillation. Cardiac conduction velocity (CV) mapping can be extremely helpful for investigating unusual activation patterns. Although methods have been developed to estimate velocity vector field, from ex-vivo preparations (e.g. from optical mapping recordings), the estimation from in-vivo electrograms (EGMs) remains challenging. This paper presents a new method specifically designed for EGMs reconstructed non-invasively from body surface potentials using electrocardiographic imaging (ECGi). The algorithm is based on cardiac activation maps and assumes either a linear or quadratic wavefront shape. The proposed methodology was performed on computed and experimental data for epicardial pacing on healthy tissue. The results were compared with reference velocity vector fields and evaluated by analyzing the errors of direction and speed. The outcomes indicate that a linear wavefront is the most suited for cardiac propagation in healthy tissue.
Document type :
Conference papers
Complete list of metadata

Cited literature [9 references]  Display  Hide  Download
Contributor : Nejib Zemzemi Connect in order to contact the contributor
Submitted on : Thursday, December 10, 2015 - 11:43:16 PM
Last modification on : Monday, July 25, 2022 - 3:44:15 AM
Long-term archiving on: : Saturday, April 29, 2017 - 11:13:58 AM


Files produced by the author(s)


  • HAL Id : hal-01241751, version 1


Corentin Dallet, Laura Bear, Josselin Duchateau, Mark Potse, Nejib Zemzemi, et al.. Local Conduction Velocity Mapping for Electrocardiographic Imaging. Computing in cardiology, Sep 2015, Nice, France. ⟨hal-01241751⟩



Record views


Files downloads