New assessment model of pulse depth based on sensor displacement in pulse diagnostic devices.
New assessment model of pulse depth based on sensor displacement in pulse diagnostic devices.
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DOI：
10.1155/2013/938641
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Kim JU
中科院分区：
文献类型：
--
作者：
Bae JH;Jeon YJ;Kim JY;Kim JU
在脉诊中，准确评估脉搏深度对于确定浮脉和沉脉这两种最基本的四种脉象品质至关重要。在这项工作中，我们提出了一种基于垂直于皮肤表面的传感器位移（SD）来评估脉搏深度的新模型，并将该模型与之前两个使用接触压力（CP）评估脉搏深度的模型进行了比较。与传统的逐步改变接触压力的眼压测量法不同，我们以恒定速度应用一种连续变化的眼压测量机制，并将脉搏深度指数定义为观察到最大脉搏幅度时的最佳传感器位移。通过计算18名志愿者的脉搏深度指数，我们发现尺部的脉搏最深（显著水平：P < 0.01），而寸部和关部之间没有显著差异。相比之下，两个基于接触压力的模型估计关部的脉搏最浅（P < 0.05）。对于重复测量，新的基于传感器位移的模型显示出比两个基于接触压力的模型更小的变异系数（基于传感器位移的模型变异系数≈7.6%，而两个基于接触压力的模型变异系数分别≈13.5%和12.3%）。基于传感器位移的脉搏深度评估对触诊部位周围复杂的几何形状和接触传感器的温度变化不敏感，这使得传感器技术具有成本效益。
An accurate assessment of the pulse depth in pulse diagnosis is vital to determine the floating and sunken pulse qualities (PQs), which are two of the four most basic PQs. In this work, we proposed a novel model of assessing the pulse depth based on sensor displacement (SD) normal to the skin surface and compared this model with two previous models which assessed the pulse depth using contact pressure (CP). In contrast to conventional stepwise CP variation tonometry, we applied a continuously evolving tonometric mechanism at a constant velocity and defined the pulse depth index as the optimal SD where the largest pulse amplitude was observed. By calculating the pulse depth index for 18 volunteers, we showed that the pulse was deepest at Cheok (significance level: P < 0.01), while no significant difference was found between Chon and Gwan. In contrast, the two CP-based models estimated that the pulse was shallowest at Gwan (P < 0.05). For the repeated measures, the new SD-based model showed a smaller coefficient of variation (CV ≈ 7.6%) than the two CP-based models (CV ≈ 13.5% and 12.3%, resp.). The SD-based pulse depth assessment is not sensitive to the complex geometry around the palpation locations and temperature variation of contact sensors, which allows cost-effective sensor technology.
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DOI：
10.1155/2012/745127
发表时间：
2012
期刊：
Evidence-based complementary and alternative medicine : eCAM
影响因子：
--
作者：
Hu CS;Chung YF;Yeh CC;Luo CH
通讯作者：
Luo CH
影响因子：
2.5
作者：
Luo, Ching-Hsing;Chung, Yu-Feng;Liang, Chi-Hsien
通讯作者：
Liang, Chi-Hsien
影响因子：
2.5
作者：
Chung, Yu-Feng;Hu, Chung-Shing;Liang, Chi-Hsien
通讯作者：
Liang, Chi-Hsien
DOI：
10.1155/2012/563958
发表时间：
2012
期刊：
Evidence-based complementary and alternative medicine : eCAM
影响因子：
--
作者：
Kim JU;Jeon YJ;Kim YM;Lee HJ;Kim JY
通讯作者：
Kim JY
影响因子：
3.6
作者：
Shu, Jian-Jun;Sun, Yuguang
通讯作者：
Sun, Yuguang