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
脉搏波分析方法及其应用

Methods of pulse wave analysis and its application

作者: 张永会  高长青  王嵘 
单位:解放军总医院心血管外科(北京 100853)
关键词: 脉搏波;  时域分析;  频域分析;  时频分析;  应用;  中医脉象 
分类号:R318.04
出版年·卷·期(页码):2019·38·3(319-326)
摘要:

脉搏波包含大量的人体生理病理信息。如何有效提取其中包含的信息,一直为国内外研究者所关注。目前脉搏波分析的主要方法有时域分析、频域分析、时频分析、数学建模分析和脉搏波速度分析等。研究者们应用上述脉搏波分析方法提取相应的脉搏波特征参数,用于评估心血管功能状态,分析人体的生理病理状况,进行中医脉象方面的研究。本文全面、系统的介绍了脉搏波分析方法及其应用研究,对脉搏波分析研究的成果和局限性进行了总结,并对下一步研究方向进行了展望。

Pulse wave contains a large amount of physiological and pathological information. How to effectively extract the information contained in pulse wave has gained attention from domestic and foreign researchers . At present, the main analysis methods of pulse wave include time domain analysis, frequency domain analysis, time-frequency domain analysis, mathematical modeling analysis, pulse wave velocity analysis, and so on. The researchers extracted the pulse wave characteristic parameters by means of the above pulse wave analysis methods to evaluate the cardiovascular function status, analyze the physiological and pathological conditions of the human body, and conduct research on the pulse condition of traditional Chinese medicine. This paper introduces the methods of pulse wave analysis and its application comprehensively and systematically. The results and limitations of pulse wave analysis are summarized. And the future research direction is prospected.

参考文献:

[1]      朱大年, 王庭槐.生理学[M]. 8版.北京:人民卫生出版社,2013:124.
Zhu DN, Wang TH. Physiology (8th ed.) [M]. Beijing: People's Medical Publishing House, 2013: 124.

[2]      Millasseau SC, Kelly RP, Ritter JM, et al. Determination of age-related increases in large artery stiffness by digital pulse contour analysis[J].  Clinical Science (London), 2002,103(4):371-377.

[3]      Wu HT, Liu CC, Lin PH, et al. Novel application of parameters in waveform contour analysis for assessing arterial stiffness in aged and atherosclerotic subjects[J]. Atherosclerosis, 2010,213(1):173-177.

[4]      聂冬, 崔萌, 朱贻盛, 等. 无创光电容积脉搏波检测分析系统[J].北京生物医学工程,2012,31(1):77-80,86.
Nie D, Cui M, Zhu YS, et al. Non-invasive photoplethysmography detection and analysis system[J].Beijing Biomedical Engineering,2012,31(1): 77-80, 86.

[5]      赵彦峰, 于双, 王慧泉, 等. 基于脉搏波传导时间和脉搏波特征参数的连续血压无创检测[J].生物医学工程研究,2018,37(1):42-45,51.
Zhao YF, Yu S, Wang HQ, et al. Non-invasive measurement of continuous blood pressure based on pulse transit time and pulse wave characteristic parameters[J]. Journal of Biomedical Engineering Research, 2018,37(1):42-45,51.

[6]      吴玮莹, 战鹏弘, 张志敏, 等. 基于光电容积脉搏波波形分析的运动负荷评价[J].北京生物医学工程,2018,37(2):136-143,181.
Wu WY, Zhan PH, Zhang ZM, et al. Exercise load test based on photoelectric pulse wave assessment[J]. Beijing Biomedical Engineering, 2018,37(2):136-143,181.

[7]      喻思源, 刘枫, 崔洁. 应用光电容积脉搏波监测小儿腹腔镜疝修补术中伤害性刺激强度变化[J].第二军医大学学报,2017,38(6):752-756.
Yu SY, Liu F, Cui J. Application of photoplethysmography in monitoring changes of noxious stimulation intensity during pediatric laparoscopic hernia repair[J]. Academic Journal of Second Military Medical University, 2017,38(6):752-756.

[8]      张爱华, 靳冠军. 基于脉搏波传导时间变异性的冠心病识别方法[J].中国医学物理学杂志,2017,34(5):527-530,540.
Zhang AH, Jin GJ. Method of coronary heart disease recognition based on pulse transit time variability[J]. Chinese Journal of Medical Physics, 2017,34(5):527-530,540.

[9]      封英, 赵柏惠, 陈新忠. 子痫前期患者光电容积指脉搏波特征参数变化的研究[J].浙江医学,2017,39(24):2265-2266,2278.
Feng Y, Zhao BH, Chen XZ. Characteristic parameters of photoplethysmography pulse wave in patients with preeclampsia[J]. Zhejiang Medical Journal , 2017,39(24):2265-2266,2278.

[10]     Su F, Li Z, Sun X, et al. The pulse wave analysis of normal pregnancy: investigating the gestational effects on photoplethysmographic signals[J]. Bio-Medical Materials and Engineering , 2014,24(1):209-219.

[11]     罗志昌, 张松, 杨文鸣, 等. 脉搏波波形特征信息的研究[J].北京工业大学学报,1996,22(1):71-79.
Luo ZC, Zhang S, Yang WM, et al. A Research on Characteristic Information of Pulse Wave[J]. Journal of Beijing University of Technology, 1996,22(1):71-79.

[12]     张俊利, 蔺嫦燕, 杨琳, 等. 脉搏波波形特征信息检测及与部分血流动力学变化相关分析[J].生物医学工程与临床,2008,12(2):104-107.
Zhang JL, Li CY, Yang L, et al. Detection of waveform characteristic of pulse wave and analysis of its related partial hemodynamic changes[J]. Biomedical Engineering and Clinical Medicine, 2008,12(2):104-107.

[13]     张伯英, 罗晓民. 基于光电容积血流脉搏波特征参数监测术中应激反应临床研究[J].生物医学工程与临床,2011,15(6):533-538.
Zhang BY, Luo XM. Clinical study of surgical stress monitoring based on characteristic parameters derived from photoplethysmographic signals[J]. Biomedical Engineering and Clinical Medicine,2011,15(6):533-538.

[14]     刘辉, 黄丹飞, 李世维. 基于脉搏波特征量关联分析的疾病预诊研究[J].长春理工大学学报(自然科学版),2016,39(5):139-143.
Liu H, Huang DF, Li SW. Pre-diagnosis Study of Cardiovascular and Cerebrovascular Diseases Based on Correlation Analysis of Pulse Waveform Characteristic[J]. Journal of Changchun University of Science and Technology(Natural Science Edition),2016,39(5):139-143.

[15]     Lee CT, Wei LY. Spectrum analysis of human pulse[J]. IEEE  Transactions on Biomedical Engineering , 1983,30(6):348-352.

[16]     彭世喜, 杨易灿, 吴一纯. 病理性弦、细、滑脉的脉图功率谱分析[J].中医研究,1993,6(1):27-28.

[17]     瞿诗华, 吴华炜, 钱志余, 等. 基于脉搏波特征参数的无创血压测量改进算法[J].生物医学工程研究,2018,37(1):36-41.
Qu SH, Wu HW, Qian ZY, et al. The improved algorithm of noninvasive blood pressure measurement based on characteristic parameters of pulse wave[J]. Journal of Biomedical Engineering Research, 2018,37(1):36-41.

[18]     张毅, 王宏宇, 吕朝磊, 等. 基于脉搏波的中医体质自动辨识系统研究初探[J].世界科学技术-中医药现代化,2017,19(10):1687-1691.
Zhang Y, Wang HY, Lv CL, et al. Research on automatic identification system of traditional chinese medicine constitution based on pulse wave[J]. Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology, 2017,19(10):1687-1691.

[19]     Straface G, Landini L, Barrella M, et al. Analysis of the microcirculatory pulse wave: age-related alterations[J]. Conference Proceedings  of the IEEE Engineering in Medicine and Biology Society,2015,2015:7362-7365.

[20]     宋建勤, 董彦武, 吴胜举. 倒谱技术在人体脉搏信号分析中的应用[J].陕西师范大学学报(自然科学版),1997,25(2):39-43.

[21]     黄镭, 刘宗行, 蔡坤宝. 倒双谱估计在海洛因吸毒者脉象信号检测中的应用[J].重庆工学院学报(自然科学版),2007,21(7):98-102.
Huang L, Liu ZX, Cai KB. Application of bicepstrum estimation in detecting pulse signals of druggers[J]. Journal of Chongqing University of Technology(Natural Science), 2007,21(7):98-102.

[22]     周霞, 蔡坤宝. 中医脉象信号的短时傅里叶分析[J].重庆大学学报,2003,26(10):47-51.
Zhou X, Cai KB. STFT analysis of pulse signals[J]. Journal of Chongqing University, 2003,26(10):47-51.

[23]     周丹, 蔡坤宝. 基于短时傅立叶变换的脉象信号的模式识别方法[J].重庆科技学院学报:自然科学版,2007,9(3):49-52.
Zhou D, Cai KB. The pulse signals pattern identification method based on short-time fourier transform[J].Journal of Chongqing University of Science and Technology: Natural Science Edition,2007,9(3):49-52.

[24]     谢家宇, 蔡坤宝, 王永东. 连续小波变换在中医脉象信号处理中的应用[J].重庆大学学报,2003,26(1):66-68.
Xie JY, Cai KB, Wang YD. Application of continuous wavelet transform to pulse signal processing[J]. Journal of Chongqing University, 2003,26(1):66-68.

[25]     De Melis M, Morbiducci U, Rietzschel ER, et al. Blood pressure waveform analysis by means of wavelet transform[J]. Medical & Biological Engineering & Computing, 2009,47(2):165-173.

[26]     刘淼. 基于高斯滤波和小波变换的脉搏信号特征的提取分析[D].北京:北京邮电大学,2017.
Liu M. Extraction and analysis of pulse signal characteristics based on gaussian filter and wavelet transform [D]. Beijing: Beijing University of Posts and Telecommunications, 2017.

[27]     胡阳生. 基于卷积神经网络的脉搏分析方法研究[D].北京:北京邮电大学,2018.
Hu YS. Research on pulse analysis method based on convolutional neural network [D]. Beijing: Beijing University of Posts and Telecommunications, 2018.

[28]     Hu XJ, Zhang L, Xu JT, et al. Pulse wave cycle features analysis of different blood pressure grades in the elderly[J]. Evidence-Based Complementary and Alternative Medicine, 2018,2018:1976041.

[29]     沈海东, 孙仁, 鲁传敬, 等. HHT方法分析冠心病患者支架置入手术对其脉搏波的影响[J].上海交通大学学报,2008,42(5):812-816.
Shen HD, Sun R, Lu CJ, et al. The influence of stent implantation on wrist pulse signal using HHT analysis[J].Journal of Shanghai Jiaotong University,2008,42(5):812-816.

[30]     马佳辉. 基于脉搏信号的人体脉搏特征参数的研究[D].北京:北京邮电大学,2018.
Ma JH. Research on human pulse characteristic parameters based on pulse signal [D]. Beijing: Beijing University of Posts and Telecommunications, 2018.

[31]     Morgan GW, Kiely JP. Wave propagation in a viscous liquid contained in a flexible tube[J]. Journal of the Acoustical Society of America, 1954,26(3):323-328.

[32]     Womersley JR. Oscillatory flow in arteries: the constrained elastic tube as a model of arterial flow and pulse transmission[J]. Physics in Medicine and Biology, 1957,2(2):178-187.

[33]     伍时桂, 李兆治. 非线性脉搏波在具有外周组织的动脉内传播的理论模型[J].北京工业大学学报,1986,12(3):1-10.
Wu SG, Li ZZ. A theoretical model of nonlinear wave propagations in arteries with surrounding tissues[J]. Journal of Beijing University of Technology,1986,12(3):1-10.

[34]     谢官模, 张光辉, 常晓年. 非线性血流脉搏波在动脉内传播的理论模型[J].武汉理工大学学报,2001,23(7):77-79.
Xie GM, Zhang GH, Chang XN. A theoretical model of nonlinear pulse wave propagation in arteries[J]. Journal of Wuhan University of Technology,2001,23(7):77-79.

[35]     Goldberger AL, Amaral LA, Glass L, et al. PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals[J]. Circulation, 2000,101(23):E215-220.

[36]     白净, 吴冬生. 桡动脉脉搏波的仿真模型[J].航天医学与医学工程,1995,8(2):94-98.
Bai J, Wu DS. A simulation model of pulse wave in radial artery [J]. Space Medicine & Medical Engineering,1995,8(2):94-98.

[37]     钱伟立, 徐兰义, 陈富裕, 等. 高斯函数分解法提取脉搏波特征[J].中国生物医学工程学报,1994,13(1):1-7.
Qian WL, Xu LY, Chen FY, et al. Acquiring characteristics of pulse wave by Gauss function separation[J].Chinese Journal of Biomedical Engineering,1994,13(1):1-7.

[38]     常昌远, 骆璇. 脉搏波的函数叠加逼近分析方法的研究[J].应用科学学报,2000,18(2):135-138.
Chang CY, Luo X. A study of pulse waves and the method of function combination and approximation[J].Journal of Applied Sciences, 2000,18(2):135-138.

[39]     苏志刚, 朱海玲, 郝敬堂. 基于高斯混合模型的脉搏波特征提取方法[J].中国医学物理学杂志,2018,35(1):76-82.
Su ZG, Zhu HL, Hao JT. Gaussian mixture model-based method for extracting the features of pulse wave[J]. Chinese Journal of Medical Physics ,2018,35(1):76-82.

[40]     Zhong Q, Hu MJ, Cui YJ, et al. Carotid-femoral pulse wave velocity in the prediction of cardiovascular events and mortality: an updated systematic review and Meta-analysis[J]. Angiology, 2018,69(7):617-629.

[41]     张翔, 康宏, 路宁, 等. 颈股脉搏波传导速度与冠状动脉病变程度的相关性[J].中国动脉硬化杂志,2016,24(6):615-619.
Zhang X, Kang H, Lu N, et al. The correlation between carotid-femoral pulse wave velocity and severity of coronary artery lesions[J].Chinese Journal of Arteriosclerosis,2016,24(6):615-619.

[42]     Gajdova J, Karasek D, Goldmannova D, et al. Pulse wave analysis and diabetes mellitus. A systematic review[J]. Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia, 2017,161(3):223-233.

[43]     史末也, 曹亚英, 孙可欣, 等. 肱踝脉搏波传导速度与小血管阻塞型脑卒中的相关性研究[J].中国慢性病预防与控制,2018,26(5):342-345.
Shi MY, Cao YY, Sun KX, et al. Correlation between brachial ankle pulse wave velocity and cerebral apoplexy with small vascular obstruction[J]. Chinese Journal of Prevention and Control of Chronic Diseases ,2018,26(5):342-345.

[44]     Kim JH, Kim MY, Lee JU, et al. Waveform analysis of the brachial-ankle pulse wave velocity in hemiplegic stroke patients and healthy volunteers: a pilot study[J]. Journal of Physical Therapy Science, 2014,26(4):501-504.

[45]     乔艳红, 牛慧敏, 王锋, 等. 慢性肾脏病5期患者脉搏波速度及相关因素分析[J].长治医学院学报,2018,32(3):195-197.

[46]     Yong WC, Sanguankeo A, Upala S. Association between sarcoidosis, pulse wave velocity, and other measures of subclinical atherosclerosis: a systematic review and meta-analysis[J]. Clinical Rheumatology , 2018,37(10):2825-2832.

[47]     Wang P, Mao YM, Zhao CN, et al. Increased pulse wave velocity in systemic lupus erythematosus: a Meta-analysis[J]. Angiology, 2018,69(3):228-235.

[48]     杨谧, 陆永萍. 极速脉搏波技术诊断动脉硬化的研究进展[J].医药前沿,2017,7(12):5-6.
Yang M, Lu YP. Progress of ultrafast pulse wave velocity in diagnosis of atherosclerosis[J].Journal of Frontiers of Medicine,2017,7(12):5-6.

[49]     车新生, 范威阳, 刘明林. 基于傅里叶级数的中医脉象三维显示[J].辽宁中医杂志,2007,34(11):1505-1507.
Che XS, Fan WY, Liu ML. Three - dimensional display of pulse base on Fourier series[J].Liaoning Journal of Traditional Chinese Medicine, 2007,34(11):1505-1507.

[50]     黄祥钧, 邢武, 李锋. 基于句法模式识别的脉搏波特征信息研究[J].中国医疗器械杂志,2005,29(5):325-327.
Huang XJ, Xing W, Li F. Application of syntactic pattern recognition in research on pulse wave’s characteristic information[J]. Chinese Journal of Medical Instrumentation,2005,29(5):325-327.

[51]     亓慧, 张艳丽, 陈振生. 基于盲解卷问题的脉搏波的信号分析[J].生物医学工程研究,2003,22(4):34-36.
Qi H, Zhang YL, Chen ZS. Signal analysis of human pulse wave based on blind deconvolution[J]. Journal of Biomedical Engineering Research, 2003,22(4):34-36.

[52]     张佳骕, 顾林跃, 姜少燕. 基于卷积递归神经网络的血压测量模型[J].北京生物医学工程,2018,37(5):494-501.
Zhang JS, Gu LY, Jiang SY. Blood pressure measurement model based on convolutional recurrent neural network[J]. Beijing Biomedical Engineering, 2018,37(5):494-501.

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