Abstract
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.
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This work was supported by National Natural Science Foundation of China (62071497); Sun Yat-sen University, China, under Scientific Initiation Project for High-level Experts (67000-18841203).
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Ching-Hsing Luo and Zhan Zhang are co-first authors.
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Luo, CH., Zhang, Z., Peng, B. et al. The novel three-dimensional pulse images analyzed by dynamic L-cube polynomial model. Med Biol Eng Comput 59, 315–326 (2021). https://doi.org/10.1007/s11517-020-02289-4
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DOI: https://doi.org/10.1007/s11517-020-02289-4