设为首页 |  加入收藏
首页首页 期刊简介 消息通知 编委会 电子期刊 投稿须知 广告合作 联系我们
高血压患者与正常人的上下肢脉搏波特征差异分析

Analysis of differences in pulse wave characteristics of upper and lower limbs between hypertensive patients and normal people

作者: 刘焕舒  张弛  刘小丽  焦以飞  
单位:首都医科大学附属北京妇产医院(北京100026) <p>北京航空航天大学生物与医学工程学院,北京生物医学工 程高精尖创新中心(北京100191)</p> <p>首都医科大学附属北京中医医院(北京100010)</p> <p>通信作者:张弛,E-mail: chizhang@ buaa.edu.cn;</p> <p>刘小丽,E-mail: 18611780617@ ccmu. edu. cn</p> <p>&nbsp;</p>
关键词: 脉搏波;高血压;脉搏波时域特征;踝臂指数;肱踝脉搏波传导速度  
分类号:R318. 04 <p>&nbsp;</p>
出版年·卷·期(页码):2022·41·1(24-31)
摘要:

目的通过挖掘脉搏波中蕴含的与血压相关的特性,分析高血压患者和正常人上下肢脉搏 波的差异,以探索高血压的前兆信息。方法分别选取20位特征明显的高血压患者和正常人作为受试 者,采集其上下肢脉搏波信号。将脉搏波信号通过无限冲激响应(infinite impulse response,IIR)二阶低 通滤波器去除高频干扰,采用单波判别算法进行基线漂移校正,并用三次样条插值法进行标准化归一化 处理后,选取脉搏波时域特征参数(脉搏波特征参数K、收缩期特征参数K、舒张期特征参数虬、主波宽 度)、踝臂指数(ankle brachial index, ABI)和肱踝脉搏波传导速度(brachial ankle pulse wave velocity, baPWV)作为上下肢脉搏波特征参数。最后,用SPSS25. 0软件对数据进行t检验、相关性分析和主成分 分析。结果高血压组与正常组的肱踝脉搏波特征参数差异具有统计学意义。特征参数的相关性分析 结果表明,左侧和右侧的脉搏波特征具有较强的相关性,左侧和右侧的脉搏波测量可相互替代;而上肢 和下肢的脉搏波特征相关性较弱,上肢和下肢的脉搏波测量不可相互替代。釆用主成分分析法进行特 征降维,分析最能表征高血压的特征成分,并筛选出高血压组与正常组的典型脉搏波波形图,验证了两 组脉搏波具有明显特征差异。结论脉搏波传导速度、踝臂指数及上下肢脉搏波特征参数K对血压水平 估计具有重要意义,可为无创血压监测和预防高血压提供参考。

 

Objective By mining the blood pressure-related characteristics contained in the pulse wave, the difference between the upper and lower limbs of hypertensive patients and normal people is analyzed to explore the precursor information of hypertension. Methods Twenty hypertensive patients and normal people with obvious characteristics are selected as subjects, and pulse wave signals of their upper and lower limbs were collected. The pulse wave signal is passed through the infinite impulse response (IIR) second-order low-pass filter to remove high-frequency interference, the single-wave discrimination algorithm is used to correct the baseline drift, and the cubic spline interpolation method is used for standardization and normalization, and then the pulse wave time domain characteristic parameters (pulse Wave characteristic parameter K, systolic characteristic parameter K1, diastolic characteristic parameter K2, main wave width), ankle brachial index (ABI) and brachial ankle pulse wave velocity (baPWV) are used as the upper characteristic parameters of lower limb pulse wave. Finally, use SPSS25.0 software to perform t test, correlation analysis and principal component analysis on the data. Results The difference in brachial-ankle pulse wave characteristic parameters between hypertension and normal groups is statistically significant. The correlation analysis results of the characteristic parameters show that the pulse wave characteristics of the left and right sides have a strong correlation, and the pulse wave measurement of the left and right sides can replace each other; while the pulse wave characteristics of the upper and lower limbs are relatively weakly correlated. The pulse wave measurement of the lower extremities cannot be substituted for each other. The principal component analysis method is used to reduce the characteristic dimension, analyze the characteristic components that can best characterize hypertension, and screen out the typical pulse wave waveforms of the hypertension group and the normal group, verifying that the two groups of pulse waves have obvious characteristic differences. Conclusion Pulse wave velocity, ankle-brachial index, and upper and lower limb pulse wave characteristic parameters K are of great significance to the estimation of blood pressure level, and can provide references for non-invasive blood pressure monitoring and prevention of hypertension.

 

参考文献:

[1]?《中国高血压防治指南》修订委员会.中国高血压防治指南(2018年修订版)[M].北京:中国医药科技出版社,2018.

[2]?Organization World Health. A global brief on hypertension: silent killer, global public health crisis: world health day 2013?[M]. : Geneva ,Switzerland:World Health Organization, 2013.

[3]?马丽媛,吴亚哲,陈伟伟,等.《中国心血管病报告2018》要点介绍[J]. 中华高血压杂志, 2019,27(8):712-716.

[4]?罗志昌,张松,杨益民. 脉搏波的工程分析与临床应用[M]. 北京:科学出版社, 2006.

[5]?秦洋. 基于脉搏波传导时间的无创连续血压测量系统的研究[D].南京:东南大学, 2015.

Qin Y. Study on a system of non-invasive continuous blood pressure measurement based on pulse wave transit time[D].Nanjing:?Southeast University, 2015.

[6]?Ding XR, Zhang YT, Liu J, et al. Continuous cuffless blood pressure estimation using pulse transit time and photoplethysmogram intensity ratio[J]. IEEE Transactionson Biomedical Engineering, 2015, 63(5):964-972.

[7]?王燚,赵存瑞,徐鲲,等. 高血压病和冠心病患者脉搏波传导速度分析[J]. 中国动脉硬化杂志, 2015, 23(10):1026-1030.

Wang Y,Zhao CR,Xu K,et al. Analysis of pulse wave velocity in essential hypertension and patients with coronary heart disease[J]. Chinese Journal of Arteriosclerosis, 2015, 23(10):1026-1030.

[8]?李珊珊. 基于脉搏波的穿戴式连续血压监测方法的研究[D]. 南京:东南大学, 2017

Li SS. Study?on wearable continuous measurement merhod of blood pressure based on pulse wave[D].Nanjing:?Southeast University, 2017

[9]?罗晓佳,胡咏梅. 正常高值血压临床研究进展[J]. 中华高血压杂志, 2015, 23(6): 526-529

[10]?Singh S, Sethi A, Singh M, et al. Simultaneously measured inter-arm and inter-leg systolic blood pressure differences and cardiovascular risk stratification: a systemic review and meta-analysis[J]. Journal of the American Society of Hypertension, 2015, 9(8): 640

[11]?刘好田,陶梅英,黄雯,等. 老年高血压患者下肢动脉病变与动脉硬化指标的相关性研究[J]. 中国医药, 2014,9(10): 1436-1440.

Liu HT,Tao MY,Huang W,et al.Correlation between atherosclerosis markers and lower limb arterial diseases in elderly patients with hypertension?[J].China Medicine, 2014,9(10): 1436-1440.

[12]?邹欣瑾. 基于四肢同步测量动脉动脉硬化的检测方法和临床研究[D].重庆:重庆大学, 2010.

Zou XJ. Detection method and clinical research of Arteriosclerosis based on measuring four limbs at the same time [D]. Chongqing:Chongqing University, 2010.

[13]?成恳. 脉搏波信号检测及数据处理方法研究[D]. 西安:西安理工大学, 2018.

Cheng K. Study on detection and data processing method of pulse wave signals [D]. Xi'an:Xi'an University of Technology, 2018.

[14]?瞿诗华. 基于脉搏波的无创连续血压测量算法研究[D].南京:南京航空航天大学, 2018.

Qu SH. Research on Noninvasive continuous blood pressure measurement algorithm based on pulse wave[D]. Nanjing:Nanjing University of Aeronautics and Astronautics, 2018.

[15]?宋晓洋. 基于脉搏波的连续血压测量方法研究[D]. 长春:吉林大学,2016.

Song XY. Research on continuous blood pressure measurement method based on pulse wave[D]. Changchun:Jilin University, 2016.

[16]?邓根强. 基于脉搏波的连续血压测量系统研究及设计[D]. 深圳:深圳大学, 2017.

Deng GQ. Design of continuous blood pressure measurement system based on pulse wave[D]. Shenzhen:Shenzhen University, 2017.

[17]?顾冠雄. 基于波形分解算法的脉搏波传播模型极其云端应用探究[D]. 北京:北京工业大学, 2015

Gu GX. Pulse wave propagation model based on waveform separation and its cloud applications[D]. Beijing:Beijing University of Technology, 2015.

[18]?池臻欤. 妊娠期高血压疾病孕妇脉搏波波形随孕周变化的研究[D]. 北京:北京工业大学, 2017.

Chi ZY. Research of pulse waveform with gestational age changes of pregnant women with hypertensive disorder complicating pregnancy [D].Beijing:Beijing University of Technology, 2017.

[19]?焦丕奇. 原发性高血压ABI、baPWV与心脏结构、功能的相关性[J]. 热带医学杂志, 2016,7(16):883-885.

Jiao PQ.Correlation between ABI, baPWV and cardiac structure and function in patients with essential hypertension[J]. Journal of Tropical Medicine, 2016,7(16):883-885.

[20]?Su HM, Lin TH, Xu PC, et al. Association of interankle systolic blood pressure difference with peripheral vascular disease and left ventricular mass inde [J]. American Journal of Hypertension, 2014, 27(1): 32.

[21]?Raff ?U, Walker S, Ott C, et al. Olmesartan improves pulse wave velocity and lowers central systolic blood pressure and ambulatory blood pressure in patients with metabolic syndrome[J]. Journal of Clinical Hypertension, 2015,17(2):98-104.

?

服务与反馈:
文章下载】【加入收藏
提示:您还未登录,请登录!点此登录
 
友情链接  
地址:北京安定门外安贞医院内北京生物医学工程编辑部
电话:010-64456508  传真:010-64456661
电子邮箱:llbl910219@126.com