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Stringlike pulse quantification study by pulse wave in 3D pulse mapping

机译:通过3D脉冲映射中的脉冲波对字符串进行脉冲量化研究

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Background: A stringlike pulse is highly related to hypertension, and many classification approaches have been proposed in which the differentiation pulse wave (dPW) can effectively classify the stringlike pulse indicating hypertension. Unfortunately, the dPW method cannot distinguish the spring stringlike pulse from the stringlike pulse so labeled by physicians in clinics. Design: By using a Bi-Sensing Pulse Diagnosis Instrument (BSPDI), this study proposed a novel Plain Pulse Wave (PPW) to classify a stringlike pulse based on an array of pulse signals, mimicking a Traditional Chinese Medicine physician's finger-reading skill. Results: In comparison to PPWs at different pulse taking positions, phase delay Δθand correlation coefficient r can be elucidated as the quantification parameters of stringlike pulse. As a result, the recognition rates of a hypertensive stringlike pulse, spring stringlike pulse, and non-stringlike pulse are 100%, 100%, 77% for PPW and 70%, 0%, 59% for dPW, respectively. Conclusions: Integrating dPW and PPW can unify the classification of stringlike pulse including hypertensive stringlike pulse and spring stringlike pulse. Hence, the proposed novel method, PPW, enhances quantification of stringlike pulse.
机译:背景:线状脉搏与高血压高度相关,因此提出了许多分类方法,其中分化脉搏波(dPW)可以有效地分类表示高血压的线状脉搏。不幸的是,dPW方法不能将弹簧弦状脉冲与临床医生如此标记的弦状脉冲区分开。设计:通过使用双向传感脉冲诊断仪(BSPDI),本研究提出了一种新颖的普通脉搏波(PPW),可以根据脉搏信号阵列对字符串状脉搏进行分类,从而模仿了中医的手指阅读技能。结果:与不同脉冲位置的PPW相比,相位延迟Δθ和相关系数r可以作为串状脉冲的量化参数。结果,对于PPW,高血压弦状脉冲,弹簧弦状脉冲和非弦状脉冲的识别率分别为dPW为100%,100%,77%和dPW为70%,0%,59%。结论:dPW和PPW的集成可以统一包括高血压性弦状脉冲和弹簧性弦状脉冲的弦状脉搏的分类。因此,提出的新颖方法PPW增强了弦状脉冲的量化。

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