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阵列脉搏波分析的评估参数及其在高血压疾病中的应用

Assessment Parameters for Arrayed Pulse Wave Analysis and Application in Hypertensive Disorders.

作者信息

Bi Zi-Juan, Yao Xing-Hua, Hu Xiao-Juan, Yuan Pei, Guo Xiao-Jing, Guo Zhi-Ling, Wang Si-Han, Li Jun, Shi Yu-Lin, Li Jia-Cai, Cui Ji, Xu Jia-Tuo

机构信息

Basic Medicine College, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Shanghai 201203, China.

Shanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Shanghai 201203, China.

出版信息

Evid Based Complement Alternat Med. 2022 Feb 17;2022:6652028. doi: 10.1155/2022/6652028. eCollection 2022.

Abstract

Study on the objectivity of pulse diagnosis is inseparable from the instruments to obtain the pulse waves. The single-pulse diagnostic instrument is relatively mature in acquiring and analysing pulse waves, but the pulse information captured by single-pulse diagnostic instrument is limited. The sensor arrays can simulate rich sense of the doctor's fingers and catch multipoint and multiparameter array signals. How to analyse the acquired array signals is still a major problem in the objective research of pulse diagnosis. The goal of this study was to establish methods for analysing arrayed pulse waves and preliminarily apply them in hypertensive disorders. While a sensor array can be used for the real-time monitoring of twelve pulse wave channels, for each subject in this study, only the pulse wave signals of the left hand at the "" location were obtained. We calculated the average pulse wave (APW) per channel over a thirty-second interval. The most representative pulse wave (MRPW) and the APW were matched by their correlation coefficient (CC). The features of the MRPW and the features that corresponded to the array pulse volume (APV) parameters were identified manually. Finally, a clinical trial was conducted to detect these feature performance indicators in patients with hypertensive disorders. The independent-samples t-tests and the Mann-Whitney -tests were performed to assess the differences in these pulse parameters between the healthy and hypertensive groups. We found that the radial passage (RP) APV , APV , APV , APV ( < 0.01), and APV ( < 0.05) were significantly higher in the hypertensive group than in the healthy group; the intermediate passage (IP) APV , APV ( < 0.05), and APV ( < 0.01) and te mean APV , APV ( < 0.05), and APV ( < 0.01) were significantly higher in the hypertensive group than in the healthy group, and the ulnar passage (UP) APV ( < 0.05) was clearly elevated in the hypertensive group. These results provide a preliminary validation of this novel approach for determining the APV by arrayed pulse wave analysis. In conclusion, we identified effective indicators of hypertensive vascular function. Traditional Chinese medicine (TCM) pulses comprise multidimensional information, and a sensor array could provide a better indication of TCM pulse characteristics. In this study, the validation of the arrayed pulse wave analysis demonstrates that the APV can reliably mirror TCM pulse characteristics.

摘要

脉诊客观性的研究离不开获取脉搏波的仪器。单脉冲诊断仪在脉搏波采集与分析方面相对成熟,但单脉冲诊断仪所捕获的脉象信息有限。传感器阵列能够模拟丰富的医者手指感觉,采集多点多参数的阵列信号。如何分析所采集的阵列信号仍是脉诊客观化研究中的一个主要问题。本研究的目的是建立分析阵列脉搏波的方法,并初步将其应用于高血压疾病。虽然传感器阵列可用于实时监测十二个脉搏波通道,但在本研究中,对于每个受试者,仅获取了左手“ ”位置的脉搏波信号。我们计算了30秒间隔内每个通道的平均脉搏波(APW)。通过相关系数(CC)将最具代表性的脉搏波(MRPW)与APW进行匹配。人工识别MRPW的特征以及与阵列脉量(APV)参数相对应的特征。最后,开展一项临床试验以检测高血压疾病患者的这些特征性能指标。进行独立样本t检验和曼-惠特尼检验,以评估健康组与高血压组之间这些脉搏参数的差异。我们发现,高血压组的桡侧通道(RP)APV 、APV 、APV 、APV (<0.01)以及APV (<0.05)显著高于健康组;高血压组的中间通道(IP)APV 、APV (<0.05)以及APV (<0.01)以及平均APV 、APV (<0.05)以及APV (<0.01)显著高于健康组,且高血压组的尺侧通道(UP)APV (<0.05)明显升高。这些结果为通过阵列脉搏波分析确定APV的这一新颖方法提供了初步验证。总之,我们识别出了高血压血管功能的有效指标。中医脉象包含多维信息,传感器阵列能够更好地体现中医脉象特征。在本研究中,阵列脉搏波分析的验证表明APV能够可靠地反映中医脉象特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12d3/8872656/fe0451a6b9f5/ECAM2022-6652028.001.jpg

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