Department of Engineering, University of Ferrara, Ferrara, Italy.
School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK.
Int J Numer Method Biomed Eng. 2022 Dec;38(12):e3658. doi: 10.1002/cnm.3658. Epub 2022 Nov 18.
This study investigated the effects of cardiac properties variability on arterial pulse wave morphology using blood flow modelling and pulse wave analysis. A lumped-parameter model of the left part of the heart was coupled to a one-dimensional model of the arterial network and validated using reference pulse waveforms in turn verified by comparison with in vivo measurements. A sensitivity analysis was performed to assess the effects of variations in cardiac parameters on central and peripheral pulse waveforms. Results showed that left ventricle contractility, stroke volume, cardiac cycle duration, and heart valves impairment are determinants of central waveforms morphology, pulse pressure and its amplification. Contractility of the left atrium has negligible effects on arterial pulse waves. Results also suggested that it might be possible to infer left ventricular dysfunction by analysing the timing of the dicrotic notch and cardiac function by analysing PPG signals. This study has identified cardiac properties that may be extracted from in vivo central and peripheral pulse waves to assess cardiac function.
本研究使用血流建模和脉搏波分析探讨了心脏特性变化对动脉脉搏波形态的影响。采用左心部分的集总参数模型与动脉网络的一维模型相结合，并使用参考脉搏波进行了验证，然后通过与体内测量结果进行比较进行了验证。进行了敏感性分析，以评估心脏参数变化对中心和外周脉搏波的影响。结果表明，左心室收缩性、每搏量、心脏周期持续时间和心脏瓣膜损伤是中央波形形态、脉搏压及其放大的决定因素。左心房的收缩性对动脉脉搏波几乎没有影响。结果还表明，通过分析重搏切迹的时间以及通过分析 PPG 信号来分析心脏功能，可能可以推断出左心室功能障碍。本研究确定了可以从体内中心和外周脉搏波中提取以评估心脏功能的心脏特性。
