Development of Low-Invasive Estimation System of Maximum Ventricular Elastance E_<max> Based on Parameter Optimization Method

基于参数优化方法的低创最大心室弹性E_<max>估计系统的研制

• 批准号: 12680822
• 负责人: YOSHIZAWA Makoto
• 金额: $ 2.24万
• 依托单位: Tohoku University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2000
• 资助国家: 日本
• 起止时间: 2000 至 2001
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-12680822/
• 关键词: Emax; maximum ventricular elastance; estimation; low-invasive; assisted circulation; cardiac function; Ees; inverse problem; 最大エラスタンス; 非侵襲的推定

The maximum ventricular elastance (E_<max>) is a good quantitative index for evaluating cardiac pump function. If E_<max> can be obtained low-invasively, it will strongly contribute to test and diagnosis of ischemic heart diseases and so on. However, the clinical application of E_<max> has not extensively progressed because the conventional methods for obtaining E_<max> need high invasive measurements. The purpose of this research was to develop a clinical method for estimating E_<max> low-invasively without any cardiac load on the basis of the parameter optimization method (POM) which has already proposed by the authors.The POM needs left ventricular pressure (LVP) and aortic flow (AoF).First, the system we have developed can estimate LVP on the basis of two ARX (autoregressive exogeneous) models : the system model from radial arterial pressure (RdP) to aortic pressure (AoP) and the system model from AoP to LVP, respectively. In a cardiac catheterization test, these ARX models can be identified by using LVP, AoP and RdP. LVP and AoP are invasive measurements but RdP is measured noninvasively by a tonometric pressure sensor. Once these models are identified, it is guessed that LVP can be estimated fully noninvasively by using RdP even after the previous cardiac catheterization test.Secondly, the developed system can estimate AoF by automatically extracting the contour of Doppler echocardiography during the ejection period.Finally, the total system has been completed in a personal computer unit so as to estimate E_<max> on the basis of the POM using the off-line data of RdP and the Doppler image of aortic flow rate. However, an input module has to be added to the system to apply the system to real clinical use.

最大心室弹性（E_ <max>）是评估心脏泵功能的良好定量指数。如果可以低侵入性获得E_ <ax>，则将有很大的贡献有助于缺血性心脏病的测试和诊断。但是，E_ <max>的临床应用尚未广泛进展，因为获得E_ <max>的常规方法需要高侵入性测量。这项研究的目的是开发一种临床方法，以基于参数优化方法（POM）的基础，在没有任何心脏负荷的情况下估算E_ <ax>降低。分别从AOP到LVP的动脉压（RDP）和主动脉压力（AOP）和系统模型。在心脏导管测试中，可以使用LVP，AOP和RDP来识别这些ARX模型。 LVP和AOP是侵入性测量值，但RDP是通过Tonometrics压力传感器无创测量的。一旦确定了这些模型，即使在先前的心脏导管测试后，也可以通过使用RDP完全无创地估算LVP。第二，开发的系统可以通过自动提取多普勒超声摄影的轮廓来估计AOF，在弹药期间提取弹药术期间的总体计算机eximations extinate the MAX <AS AS the MAX <AS AS <aS <AS <aS <aS <max < RDP的数据和主动脉流量的多普勒图像。但是，必须将输入模块添加到系统中，以将系统应用于实际临床用途。

项目成果

Makoto Yoshizawa: "Sensor-less ostimation of pressure head and flow of a cantinuous flow artificial heart"Journal of Congestive Heart Failure and circulatory support. 1. 259-262 (2001)

Makoto Yoshizawa：“连续流动人工心脏的压头和流量的无传感器估计”充血性心力衰竭和循环支持杂志。

Xian-Zheng Wang: "Automatic detection and classification of abnormalities for artificial hearts using a hierarchical self-organizing map"Artificial Organs. 25 (2). 150-153 (2001)

王贤正：“使用分层自组织图自动检测和分类人工心脏异常”人工器官。

Tomoyuki Yanbe: "Nonlinear Biomedical Signal Processing Vol.II"IEEE Press. 340 (2001)

Tomoyuki Yanbe：“非线性生物医学信号处理卷 II”IEEE 出版社。

Makoto Yoshizawa: "Information Technologies in Medicine Vol.I"John Wiley & Sons. 238 (2001)

吉泽诚：《医学信息技术第一卷》约翰·威利

T.Yambe: "Pathopysiological aspect of an implantable ventricular assist device with short stroke and high frequency"J. of Congestive Heart Failure and Circulatory Support. 1・4. 299-303 (2001)

T.Yambe：“短行程和高频率的植入式心室辅助装置的病理生理学方面”，《充血性心力衰竭和循环支持》1·4（2001）。