TY - GEN
T1 - A 3D model of the thorax for seismocardiography
AU - Laurin, Alexandre
AU - Imperiale, Sébastien
AU - Moireau, Philippe
AU - Blaber, Andrew
AU - Chapelle, Dominique
N1 - Publisher Copyright:
© 2015 CCAL.
PY - 2015/2/16
Y1 - 2015/2/16
N2 - Seismocardiography (SCG) is measurement of sternal acceleration caused by heart beats. Although fiducial cardiac events have been associated with seismocardiogram extrema, the forces that cause the vibrations are unknown. The goal of this study was to create a 3D model of the thorax capable of modelling its vibrations under heart-like forces. We used the standard equations for damped elastic wave propagation. The mechanical properties of sternal and costal bone, as well as costal cartilage and lung tissue were identified. Displacement was fixed at 0 where the ribs reached the spine, a force was input where the heart was in direct contact with the thorax. The simulation was run on a life-like volume mesh. A zone of observation was identified on the xiphoid process, where normal displacement was averaged. This average was considered to simulate seismocardiograms and exhibited clear fiducial point analogs that were detectable automatically. In the next steps, we will couple the thoracic deformation model to a 3D beating heart model, incorporating contact boundary conditions that take into account the pericardium. Ultimately, we will create a thoracic model capable of returning seismocardiogram signals to enable solving inverse problems, and patient-specific modelling.
AB - Seismocardiography (SCG) is measurement of sternal acceleration caused by heart beats. Although fiducial cardiac events have been associated with seismocardiogram extrema, the forces that cause the vibrations are unknown. The goal of this study was to create a 3D model of the thorax capable of modelling its vibrations under heart-like forces. We used the standard equations for damped elastic wave propagation. The mechanical properties of sternal and costal bone, as well as costal cartilage and lung tissue were identified. Displacement was fixed at 0 where the ribs reached the spine, a force was input where the heart was in direct contact with the thorax. The simulation was run on a life-like volume mesh. A zone of observation was identified on the xiphoid process, where normal displacement was averaged. This average was considered to simulate seismocardiograms and exhibited clear fiducial point analogs that were detectable automatically. In the next steps, we will couple the thoracic deformation model to a 3D beating heart model, incorporating contact boundary conditions that take into account the pericardium. Ultimately, we will create a thoracic model capable of returning seismocardiogram signals to enable solving inverse problems, and patient-specific modelling.
U2 - 10.1109/CIC.2015.7408687
DO - 10.1109/CIC.2015.7408687
M3 - Conference contribution
AN - SCOPUS:84964010243
T3 - Computing in Cardiology
SP - 465
EP - 468
BT - Computing in Cardiology Conference 2015, CinC 2015
A2 - Murray, Alan
PB - IEEE Computer Society
T2 - 42nd Computing in Cardiology Conference, CinC 2015
Y2 - 6 September 2015 through 9 September 2015
ER -