Akhbardeh Alireza, Tavakolian Kouhyar, Gurev Viatcheslav, Lee Ted, New William, Kaminska Bozena, Trayanova Natalia
Computational and Electrophysiology lab, Department of Biomedical Engineering and Institute for Computational Medicine, Johns Hopkins University, 3400 N. Charles Street, CSEB Room 216, Baltimore, MD 21218, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:2899-903. doi: 10.1109/IEMBS.2009.5334444.
We introduce and compare three different modalities to study seismocardiogram (SCG) and its correlation with cardiac events. We used an accelerometer attached to the subject sternum to get a reference measure. Cardiac events were then approximately identified using echocardiography. As an alternative approximation, we used consecutive Cine-MRI images of the heart to capture cardiac movements and compared them with the experimental SCG. We also employed an anatomically accurate, finite element base electromechanical model with geometry built completely from DT-MRI to simulate a portion of the cardiac cycle as observed in the SCG signal. The preliminary results demonstrate the usability of these newly proposed methods to investigate the mechanism of SCG waves and also demonstrate the usability of echocardiograph in interpretation of these results in terms of correlating them to underlying cardiac cycle events.
我们介绍并比较了三种不同的方法来研究心震图（SCG）及其与心脏事件的相关性。我们使用附着在受试者胸骨上的加速度计来获取参考测量值。然后使用超声心动图大致识别心脏事件。作为另一种近似方法，我们使用心脏的连续电影磁共振成像（Cine-MRI）图像来捕捉心脏运动，并将其与实验性心震图进行比较。我们还采用了一个解剖学精确的、基于有限元的机电模型，其几何形状完全由扩散张量磁共振成像（DT-MRI）构建，以模拟在心震图信号中观察到的部分心动周期。初步结果证明了这些新提出的方法在研究心震图波形机制方面的可用性，也证明了超声心动图在将这些结果与潜在的心动周期事件相关联方面解释这些结果的可用性。
