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| 基于有限元分析法的中医脉宽模型高相关参数探究 |
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| 投稿时间：2022-12-22 录用日期：2023-01-11 |
| DOI： |
| 中文关键词: 脉象要素, 生理参数, 有限元分析, 柔性阵列传感器，脉象预测模型 |
| 英文关键词: pulse condition elements, physiological parameters, finite element analysis, flexible array sensor, pulse condition prediction model. |
| 基金项目:广东省重点领域科研计划季华实验室项目（X190051TB190） |
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| 中文摘要: |
| 目的 借助有限元分析方法，对以脉宽为例的脉象要素预测模型的高相关客观生理参数进行研究。方法 以自主设计的柔性阵列式传感器为载体，利用ANSYS软件建立了传感器-腕部简化三维模型，结合人体及材料的力学特性和中医脉诊理论完成了模型的条件设置，通过在极值设置下对与脉宽相关的8个生理参数的脉宽结果进行对比，获得脉宽模型的高相关生理参数。结果 获得了8个生理参数在正常人范围内对脉宽的影响大小，并结合中医医师脉诊过程中的实际情况筛选出了血管直径、血压差、皮肤弹性模量及组织弹性模量作为脉宽模型的高相关参数。结论 将有限元分析方法用于中医脉象要素的科学评估是有效的，能够利用该方法还原传统中医的脉诊流程，评价脉象要素模型的高相关参数。意义 能够以简便的方法获取到建立脉象预测模型所需的关键生理参数，能为中医医师脉诊诊断过程提供科学验证和参考，后续期望能利用高相关生理参数建立起的预测模型实现对患者的健康标准评测和疾病风险预测。 |
| 英文摘要: |
| Objective To use the finite element analysis method to study the high correlation objective physiological parameters of the pulse element prediction model with pulse width as an example. Methods Using the self-designed flexible array sensor as the carrier, a simplified three-dimensional model of the sensor-wrist was established by using ANSYS software, and the condition setting of the model was completed by combining the mechanical properties of the human body and materials and the theory of traditional Chinese medicine pulse diagnosis. The pulse width results of 8 physiological parameters related to pulse width were compared to obtain the highly correlated physiological parameters of the pulse width model. Results The influence of 8 physiological parameters on pulse width within the normal range was obtained, and the blood vessel diameter, blood pressure difference, skin elastic modulus and tissue elastic modulus were screened out as the pulse width based on the actual situation in the pulse diagnosis process of traditional Chinese medicine physicians. High correlation parameter for wide mode. Conclusion It is effective to apply the finite element analysis method to the scientific evaluation of TCM pulse elements. This method can be used to restore the pulse diagnosis process of traditional Chinese medicine and evaluate the high correlation parameters of the pulse element model. It means that the key physiological parameters needed to establish a pulse prediction model can be obtained in a simple way, and it can provide scientific verification and reference for the pulse diagnosis and diagnosis process of traditional Chinese medicine physicians. Health Criteria Evaluation and Disease Risk Prediction. |
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