Paper Info
Title
A Predictive Personalised Model For The Left Atrium
Abstract
We propose an integrated modelling and clinical protocol for characterising local tissue properties in the left atrium and validate the resulting personalised models in four patient cases. We generate a personalised model from a set of measured local activation times (LATs) obtained by pacing the left atrium in the proximity of the coronary sinus with a programmed pacing protocol. We validate the model by evaluating the correlation between a set of measured LATS, obtained by pacing on the high right atrium and a set numerically computed LATs. We then estimate if the tissue is capable of sustaining an atrial fibrillation or a tachycardia by triggering a spiral wave on the computational model and then analysing the activation frequencies and the time elapsed until the termination of the aberrant activation.
Year
DOI
Venue
2017
10.22489/CinC.2017.201-136
2017 COMPUTING IN CARDIOLOGY (CINC)
Field
DocType
Volume
Atrial fibrillation,Tachycardia,High right atrium,Internal medicine,Spiral wave,Cardiology,Left atrium,Coronary sinus,Medicine
Conference
44
ISSN
Citations 
PageRank 
2325-8861
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Cesare Corrado1113.20
Steven C R Williams224524.98
G Plank320133.05
Mark D. O'Neill4114.35
Steven Niederer511920.78