Suppr超能文献

基于声学波形的稳定性冠心病腕脉诊断。

Wrist pulse diagnosis of stable coronary heart disease based on acoustics waveforms.

机构信息

The First Clinical College of Shandong University of Traditional Chinese Medicine, Department of Gerontology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China.

Department of Gerontology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China.

出版信息

Comput Methods Programs Biomed. 2022 Feb;214:106550. doi: 10.1016/j.cmpb.2021.106550. Epub 2021 Nov 21.

Abstract

BACKGROUND AND OBJECTIVE

As a common pathological pulse, unsmooth pulse has important diagnostic value in traditional Chinese medicine (TCM). In modern pulse diagnosis, unsmooth pulse plays an important role in the diagnosis of disease location and nature, but there are few studies on it. In this paper, a pulse diagnosis approach based on acoustic waveforms was proposed, the wrist pulse was divided into five layers vertically for the first time. Five layers acoustic waves of the radial artery in stable coronary heart disease (CHD) patients and relatively healthy people were compared to explore whether there are abnormal changes in acoustic pulse in stable CHD patients.

METHODS

The acoustic features of unsmooth pulse in patients with stable CHD were analyzed in time domain, frequency domain and empirical mode decomposition, combined with shannon entropy and multi-scale entropy. Sixteen pulse characteristics were discovered, and one-way analysis of variance were performed. The characteristics of the two groups were tested by T test. 13 features were used to identify patients with stable CHD by support vector machine (SVM).

RESULTS

Compared to healthy people, all parameters of the third layer of the stable CHD left Cun pulse were significantly different from those of the healthy people. The identification rates of the fourth and third layer of the left Cun pulse were the first (90.79%) and the second (88.16%), respectively.

CONCLUSION

Abnormal acoustic pulse appeared in the radial artery in patients with stable CHD. According to these changes, patients with stable CHD can be effectively identified from the perspective of pulse.

摘要

背景与目的

作为常见的病理脉象,涩脉在中医中具有重要的诊断价值。在现代脉象诊断中,涩脉在疾病部位和性质的诊断中起着重要作用,但对其研究较少。本文提出了一种基于声振信号的脉象诊断方法,首次将腕部脉象垂直分为五层。对比稳定型冠心病患者和相对健康人群桡动脉的五层声振信号,探讨稳定型冠心病患者声振脉象是否存在异常变化。

方法

对稳定型冠心病患者涩脉的时域、频域和经验模态分解特征进行分析,结合香农熵和多尺度熵提取脉象特征,进行单因素方差分析,采用 T 检验对两组脉象特征进行检验,采用支持向量机(SVM)对 13 个特征进行分类识别。

结果

与健康人相比,稳定型冠心病左寸脉第三层的所有参数均与健康人有显著差异。左寸脉第四层和第三层的识别率最高(分别为 90.79%和 88.16%)。

结论

稳定型冠心病患者桡动脉出现异常声振脉象,从脉象角度可以有效识别稳定型冠心病患者。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验