Abstract < /h3 > < p class= " a-plus-plus " > Most existing studies of cardiac arrhythmia rely on surface measurements through optical or electrical mapping techniques. Current density imaging (CDI) is a method which enables us to study current pathways inside the tissue. However, this method entails implementation complexities for beating < em class= " a-plus-plus " ..."> Abstract < /h3 > < p class= " a-plus-plus " > Most existing studies of cardiac arrhythmia rely on surface measurements through optical or electrical mapping techniques. Current density imaging (CDI) is a method which enables us to study current pathways inside the tissue. However, this method entails implementation complexities for beating < em class= " a-plus-plus " ..." /> Abstract < /h3 > < p class= " a-plus-plus " > Most existing studies of cardiac arrhythmia rely on surface measurements through optical or electrical mapping techniques. Current density imaging (CDI) is a method which enables us to study current pathways inside the tissue. However, this method entails implementation complexities for beating < em class= " a-plus-plus " ..." />

Modeling Current Density Maps Using Aliev –Panfilov Electrophysiological Heart Model

< h3 class= " a-plus-plus " > Abstract < /h3 > < p class= " a-plus-plus " > Most existing studies of cardiac arrhythmia rely on surface measurements through optical or electrical mapping techniques. Current density imaging (CDI) is a method which enables us to study current pathways inside the tissue. However, this method entails implementation complexities for beating < em class= " a-plus-plus " > ex vivo < /em > hearts. Hence, this work presents an approach to simulate and study the current distributions in different cardiac electrophysiological states. The results are corroborated by experimental data, and they indicate that different states were distinguishable. The CDI simulations can be used for studying cardiac arrhythmias under simulation conditions which are otherwise impossible or difficult to be implemented experimentally. < /p >
Source: Cardiovascular Engineering and Technology - Category: Cardiology Source Type: research