静息和运动条件下心冲击图中中心主动脉力的估计。
Estimation of central aortic forces in the ballistocardiogram under rest and exercise conditions.
作者信息
Wiard Richard M, Kim Hyun Jin, Figueroa C, Kovacs Gregory T A, Taylor Charles A, Giovangrandi Laurent
机构信息
Bioengineering Department, Stanford University, Stanford, CA 94305, USA.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:2831-4. doi: 10.1109/IEMBS.2009.5333577.
The ballistocardiogram (BCG) signal represents the movements of the body in response to cardiac ejection of blood. The BCG signal can change considerably under various physiological states; however, little information exists in literature describing how these forces are generated. A physical analysis is presented using a finite element model of thoracic aortic vasculature to quantify forces generated by the blood flow during the cardiac cycle. The traction at the fluid-solid interface of this deformable wall model generates a Central Aortic Force (CAF) which appears of similar magnitude to recorded BCG forces. The increased pulse pressure in an exercise simulation caused a significant increase in CAF, which is consistent with recent BCG measurements in exercise recovery.
心冲击图（BCG）信号代表身体对心脏射血的响应运动。在各种生理状态下，BCG信号会发生相当大的变化；然而，文献中几乎没有描述这些力是如何产生的信息。本文利用胸主动脉血管系统的有限元模型进行物理分析，以量化心动周期中血流产生的力。这种可变形壁模型的流固界面处的牵引力产生了一个中心主动脉力（CAF），其大小与记录的BCG力相似。运动模拟中脉压的增加导致CAF显著增加，这与最近运动恢复过程中的BCG测量结果一致。
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