Towards an atrio-ventricular delay optimization assessed by a computer model for cardiac resynchronization therapy

David Ojeda; Virginie Le Rolle; Kevin Tse Ve Koon; Christophe Thebault; Erwan Donal; Alfredo I. Hernández

doi:10.1117/12.2041977

19 November 2013 Towards an atrio-ventricular delay optimization assessed by a computer model for cardiac resynchronization therapy

David Ojeda, Virginie Le Rolle, Kevin Tse Ve Koon, Christophe Thebault, Erwan Donal, Alfredo I. Hernández

Author Affiliations +

Proceedings Volume 8922, IX International Seminar on Medical Information Processing and Analysis; 892207 (2013) https://doi.org/10.1117/12.2041977
Event: IX International Seminar on Medical Information Processing and Analysis, 2013, Mexico City, Mexico

Abstract

In this paper, lumped-parameter models of the cardiovascular system, the cardiac electrical conduction system and a pacemaker are coupled to generate mitral ow pro les for di erent atrio-ventricular delay (AVD) con gurations, in the context of cardiac resynchronization therapy (CRT). First, we perform a local sensitivity analysis of left ventricular and left atrial parameters on mitral ow characteristics, namely E and A wave amplitude, mitral ow duration, and mitral ow time integral. Additionally, a global sensitivity analysis over all model parameters is presented to screen for the most relevant parameters that a ect the same mitral ow characteristics. Results provide insight on the in uence of left ventricle and atrium in uence on mitral ow pro les. This information will be useful for future parameter estimation of the model that could reproduce the mitral ow pro les and cardiovascular hemodynamics of patients undergoing AVD optimization during CRT.

Citation Download Citation

David Ojeda, Virginie Le Rolle, Kevin Tse Ve Koon, Christophe Thebault, Erwan Donal, and Alfredo I. Hernández "Towards an atrio-ventricular delay optimization assessed by a computer model for cardiac resynchronization therapy", Proc. SPIE 8922, IX International Seminar on Medical Information Processing and Analysis, 892207 (19 November 2013); https://doi.org/10.1117/12.2041977

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