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The novel three-dimensional pulse images analyzed by dynamic L-cube polynomial model
Medical & Biological Engineering & Computing ( IF 3.2 ) Pub Date : 2021-01-12 , DOI: 10.1007/s11517-020-02289-4
Ching-Hsing Luo, Zhan Zhang, Bo Peng, Xiaohua Xie, Tsung-Lin Lee, Liang-Miin Tsai

A dynamic L-cube polynomial is proposed to analyze dynamic three-dimensional pulse images (d3DPIs), as an extension of the previous static L-cube polynomial. In this paper, a weighted least squares (WLS) method is proposed to fit the amplitude C(t) of d3DPI at four physiological key points in addition to the best fit of L-cube polynomials to the measured normal and cold-pressor-test (CPT)-induced taut 3DPIs. Compared with other two fitting functions, C(t) of a dynamic L-cube polynomial can be well matched by the proposed WLS method with the least relative error at four physiological key points in one beat with statistical significance, in addition to the best fit of the measured 3DPIs. Therefore, a dynamic L-cube polynomial can reflect dynamic time characteristics of normal and CPT-induced hypertensive taut 3DPIs, which can be used as an evidence of hypertension diagnosis.

Graphical abstract



中文翻译:

动态L-cube多项式模型分析的新型三维脉搏图像

提出了动态 L 立方多项式来分析动态三维脉冲图像 (d3DPI),作为先前静态 L 立方多项式的扩展。在本文中,除了L-cube多项式与测量的正常和冷加压测试的最佳拟合外,还提出了加权最小二乘法(WLS)方法来拟合四个生理关键点的d3DPI的幅度Ct) (CPT) 诱导的拉紧 3DPI。与其他两个拟合函数相比,C ( t) 的动态 L 立方多项式可以通过所提出的 WLS 方法很好地匹配,除了测量的 3DPI 的最佳拟合之外,在具有统计显着性的四个生理关键点处的相对误差最小。因此,动态L-cube多项式可以反映正常和CPT诱导的高血压taut 3DPI的动态时间特征,可作为高血压诊断的依据。

图形概要

更新日期:2021-01-13
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