波形
主动脉压
反射(计算机编程)
心脏病学
超声波
脉搏波分析
多普勒效应
流量(数学)
内科学
脉冲压力
血流
射血分数
脉冲波
多普勒超声
医学
混淆
脉搏(音乐)
血压
血流动力学
心力衰竭
物理
机械
脉冲波速
计算机科学
放射科
光学
激光器
程序设计语言
量子力学
电压
探测器
天文
作者
Stephanie Parragh,Bernhard Hametner,Martin Bachler,Thomas Weber,Bernd Eber,Siegfried Wassertheurer
标识
DOI:10.1088/0967-3334/36/2/179
摘要
The non-invasive quantification of arterial wave reflection is an increasingly important concept in cardiovascular research. It is commonly based on pulse wave analysis (PWA) of aortic pressure. Alternatively, wave separation analysis (WSA) considering both aortic pressure and flow waveforms can be applied. Necessary estimates of aortic flow can be measured by Doppler ultrasound or provided by mathematical models. However, this approach has not been investigated intensively up to now in subjects developing systolic heart failure characterized by highly reduced ejection fraction (EF). We used non-invasively generated aortic pressure waveforms and Doppler flow measurements to derive wave reflection parameters in 61 patients with highly reduced and 122 patients with normal EF. Additionally we compared these readings with estimates from three different flow models known from literature (triangular, averaged, Windkessel). After correction for confounding factors, all parameters of wave reflection (PWA and WSA) were comparable for patients with reduced and normal EF. Wave separations assessed with the Windkessel based model were similar to those derived from Doppler flow in both groups. The averaged waveform performed poorer in reduced than in normal EF, whereas triangular flow represented a better approximation for reduced EF. Overall, the non-invasive assessment of WSA parameters based on mathematical models compared to ultrasound seems feasible in patients with reduced EF.
科研通智能强力驱动
Strongly Powered by AbleSci AI