Automatic Location of Sources of Electrical Activation from Electroanatomical Maps

Barber, Fernando; Lozano, Miguel; García-Fernández, Ignacio; Sebastián, Ramón Alonso

doi:10.22489/cinc.2016.128-255

Search citation statements

Order By: Relevance

Paper Sections

Select...

Simulation Study1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2017

Publication Types

Select...

Other1

Relationship

Self Cite1

Independent0

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study we used two different levels of branch recursion, depth 2 (D2) and depth 4 (D4). The algorithm and scenarios are explained in detail in [12].…”

Section: Simulation Studymentioning

confidence: 99%

Estimation of Location and Activation Time of Purkinje Myocardial Junctions from Sparse and Noisy Endocardial Electrical Samples

Barber

Lozano

García

et al. 2017

Computing in Cardiology Conference (CinC)

Self Cite

View full text Add to dashboard Cite

The activation of the myocardial muscle is triggered by Purkinje-myocardial junctions (PMJs), which are the terminal sites of the specialised cardiac conduction system (CCS). Obtaining the location of the PMJs and other sources of endocardial ectopic activity would be desirable for building computer models of cardiac electrophysiology and planning ablation interventions. We present a method to estimate the location and activation times of endocardial electrical sources in a 3D model of the ventricles. The algorithm requires a set of discrete electrical samples on the endocardium, which can include errors in location and activation time. The estimated sources are properly placed with a location and time error in the order of the measurement error.

show abstract

“…In this study we used two different levels of branch recursion, depth 2 (D2) and depth 4 (D4). The algorithm and scenarios are explained in detail in [12].…”

Section: Simulation Studymentioning

confidence: 99%