Title
Predicting Activation Patterns in Cardiac Resynchronization Therapy Patients
Abstract
Cardiac resynchronization therapy (CRT) is an effective treatment for heart failure patients. Suboptimal pacing timings and locations have been identified as causes for nonresponse to CRT. Patient specific computer models allow for the prediction of the electrical activation pattern on the ventricles, which can then be used to optimise CRT lead location. The electrical activation of the heart depends on the underlying cardiac substrate. The electrical properties of the heart have been found to be heterogeneous, with scar, functional block, septal slowing, and fast endocardial conduction impacting the electrical activation across the ventricles. Non-Invasive data from 14 patients were used to create computer models of the heart. The patient specific models were then used to assess the importance of the heterogeneous cardiac substrates on accurately predicting the electrical activation pattern of the ventricles. Fast endocardial conduction was found to be the most important factor in accurately predicting the electrical activation of the heart in CRT patients.
Year
DOI
Venue
2018
10.22489/CinC.2018.079
2018 Computing in Cardiology Conference (CinC)
Keywords
Field
DocType
patient specific computer models,electrical activation pattern,ventricles,CRT lead location,electrical properties,heterogeneous cardiac substrates,CRT patients,cardiac resynchronization therapy patients,heart failure patients,endocardial conduction
Heart failure,Internal medicine,Cardiology,Lead location,Cardiac resynchronization therapy,Medicine
Conference
Volume
ISSN
ISBN
45
2325-8861
978-1-7281-0924-4
Citations 
PageRank 
References 
0
0.34
0
Authors
11