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Non-invasive method and system for measuring myocardial ischemia, stenosis identification, localization and fractional flow reserve estimation

机译:测量心肌缺血,狭窄识别,定位和血流储备分数的无创方法和系统

摘要

The present disclosure facilitates the evaluation of wide-band phase gradient information of the heart tissue to assess, e.g., the presence of heart ischemic heart disease. Notably, the present disclosure provides an improved and efficient method to identify and risk stratify coronary stenosis of the heart using a high resolution and wide-band cardiac gradient obtained from the patient. The patient data are derived from the cardiac gradient waveforms across one or more leads, in some embodiments, resulting in high-dimensional data and long cardiac gradient records that exhibit complex nonlinear variability. Space-time analysis, via numeric wavelet operators, is used to study the morphology of the cardiac gradient data as a phase space dataset by extracting dynamical and geometrical properties from the phase space dataset.
机译:本公开有助于评估心脏组织的宽带相位梯度信息以评估例如心脏缺血性心脏病的存在。值得注意的是,本公开提供了一种改进的有效方法,其使用从患者获得的高分辨率和宽带心脏梯度来识别心脏的冠状动脉狭窄并对其进行分层。在一些实施例中,患者数据是从跨一个或多个导线的心脏梯度波形中得出的,从而产生了高维数据和较长的心脏梯度记录,这些记录表现出复杂的非线性变化。通过从相空间数据集中提取动力学和几何特性,通过数值小波运算符进行时空分析,以研究作为相空间数据集的心脏梯度数据的形态。

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