Inria, Palaiseau, France.
LMS, Ecole Polytechnique, CNRS, Institut Polytechnique de Paris, Palaiseau, France.
Sci Rep. 2023 Jul 11;13(1):11232. doi: 10.1038/s41598-023-38196-5.
A simple power law has been proposed in the pioneering work of Klotz et al. (Am J Physiol Heart Circ Physiol 291(1):H403-H412, 2006) to approximate the end-diastolic pressure-volume relationship of the left cardiac ventricle, with limited inter-individual variability provided the volume is adequately normalized. Nevertheless, we use here a biomechanical model to investigate the sources of the remaining data dispersion observed in the normalized space, and we show that variations of the parameters of the biomechanical model realistically account for a substantial part of this dispersion. We therefore propose an alternative law based on the biomechanical model that embeds some intrinsic physical parameters, which directly enables personalization capabilities, and paves the way for related estimation approaches.
克莱茨等人在开创性工作中提出了一个简单的幂律,以近似左心室的舒张末期压力-容积关系,只要容积充分归一化,就可以提供有限的个体间变异性。然而,我们在这里使用生物力学模型来研究在归一化空间中观察到的剩余数据分散的来源,并表明生物力学模型参数的变化真实地解释了这部分分散的很大一部分。因此,我们提出了一种基于生物力学模型的替代定律,该定律嵌入了一些内在的物理参数,这直接实现了个性化的能力,并为相关的估计方法铺平了道路。