TY - GEN
T1 - Comparison of phenomenological and biophysical cardiac models coupled with heterogenous structures for prediction of electrical activation sequence
AU - Pashaei, A.
AU - Romero, D.
AU - Sebastian, R.
AU - Camara, O.
AU - Frangi, A. F.
PY - 2010
Y1 - 2010
N2 - The electrical activation sequence of the ventricles follows a complex pattern which ensures an efficient contraction and subsequent blood pumping. Today, electrical therapies are often used to correct those behaviors, although a-priori it is unknown how the activation sequence will change. In this paper, we study changes in the activation pattern using electrical simulations based on both phenomenological and biophysical models. The complex electrophysiological modeling takes into account the cell specific ion kinetic and reaction-diffusion equations for tissue propagation, whereas the simple modeling is based on Eikonal equation. The computational model includes the specialized electrical structures in the ventricles. Simulation outcomes were compared by looking at the local activation times (LAT) and following total activation time (TAT). Results show that the inclusion of a biophysically based conduction system on a phenomenological model reduces the differences with fully biophysical models, requiring short computational times.
AB - The electrical activation sequence of the ventricles follows a complex pattern which ensures an efficient contraction and subsequent blood pumping. Today, electrical therapies are often used to correct those behaviors, although a-priori it is unknown how the activation sequence will change. In this paper, we study changes in the activation pattern using electrical simulations based on both phenomenological and biophysical models. The complex electrophysiological modeling takes into account the cell specific ion kinetic and reaction-diffusion equations for tissue propagation, whereas the simple modeling is based on Eikonal equation. The computational model includes the specialized electrical structures in the ventricles. Simulation outcomes were compared by looking at the local activation times (LAT) and following total activation time (TAT). Results show that the inclusion of a biophysically based conduction system on a phenomenological model reduces the differences with fully biophysical models, requiring short computational times.
UR - http://www.scopus.com/inward/record.url?scp=79953828905&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:79953828905
SN - 9781424473182
T3 - Computing in Cardiology
SP - 871
EP - 874
BT - Computing in Cardiology 2010, CinC 2010
T2 - Computing in Cardiology 2010, CinC 2010
Y2 - 26 September 2010 through 29 September 2010
ER -