基于双模算法的脉搏波速度测量方法研究

刘聪; 刘云清

doi:10.11999/JEIT170637

基于双模算法的脉搏波速度测量方法研究

doi: 10.11999/JEIT170637

刘聪¹,
刘云清¹

基金项目:

吉林省科技厅项目(20150309004GX)

计量
- 文章访问数: 1128
- HTML全文浏览量: 99
- PDF下载量: 147
- 被引次数: 0
出版历程
- 收稿日期: 2017-07-03
- 修回日期: 2017-11-29
- 刊出日期: 2018-04-19

Research on Pulse Wave Velocity Measurement Method Based on Dual-mode Algorithm

LIU Cong¹,
LIU Yunqing¹

Funds:

The Science and Technology Department Project of Jilin Province (20150309004GX)

摘要

摘要: 人体脉搏波速度(PWV)被认为是体现心脑血管健康和血管壁弹性变化的重要因素之一。医学上对脉搏波速的研究也变得越来越热，许多诸如糖尿病、高血压、冠心病、动脉硬化等疾病也都与之有密切关系。因此，对脉搏波速度(PWV)的检测具有重要的、特殊的意义。该文主要从信号提取和信号分析方面入手研究脉搏波，利用标准时钟信号插入所提取的肱动脉与桡动脉信号之间以及多点脉搏波信号相位差之间取平均值的双模算法，从而更精确地计算出PWV，并且其求解的PWV标准差为0.06~0.12。该文所使用的双模算法在实时性、测量精度和稳定性方面，优于传统的PWV测量方法，可应用于脉搏波相关的医学研究和实验中。
- 脉搏波速度 /
- 双模算法 /
- 信号分析 /
- 标准时钟
Abstract: Human Pulse Wave Velocity (PWV) is considered to be one of the important factors that reflects the cardiovascular and cerebrovascular health and the elasticity change of vascular wall. The research of medical pulse wave velocity becomes increasingly hot, such as diabetes, high blood pressure, coronary heart disease, atherosclerosis and other diseases are also closely related. Therefore, the detection of PWV has important and special significance. This paper focuses on signal extraction and signal analysis to study the pulse wave, using the standard clock signal to insert the signal extracted between the brachial artery and radial artery and the dual-mode algorithm of the average among the phase difference of multi-point pulse wave signal, then the PWV is accurately calculated, and its standard deviation is between 0.06 and 0.12. The dual-mode algorithm is superior to the traditional PWV measurement method in real-time, measurement accuracy and stability. It can be used in pulse wave medical research and experiments.
- Pulse Wave Velocity (PWV) /
- Dual-mode algorithm /
- Signal analysis /
- Standard clock

HTML全文

参考文献(28)

SAITO M, MATSUKAWA M, ASADA T, et al. Noninvasive assessment of arterial stiffness by pulse wave analysis[J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2012, 59(11): 2411-2419. doi: 10.1109/ TUFFC.2012.2473.

JANA Hruskova, EVA Zavodna, JIRI Moudr, et al. Calculation of the pulse wave velocity from the waveform of the central aortic pressure pulse in young adults[C]. 2015 Computing in Cardiology Conference (CinC), Nice, France, 2015: 385-388.

KHANDOKER A H, LUTHRA V, ABOUALLABAN Y, et al. Reduced variability in pulse wave velocity in depressed patients with suicidal ideation[C]. 2015 Computing in Cardiology Conference (CinC), Nice, France, 2015: 1061-1064.

SEO J, PIETRANGLEO S J, and LEE H S. Noninvasive arterial blood pressure waveform monitoring using two-element ultrasound system[J]. IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society, 2015, 62(4): 776-784. doi: 10.1109/TUFFC.2014.006904.

YANG Xianglin, HU Wei, YAN Hong, et al. Research progress of noninvasive continuous blood pressure measurements based on pulse wave velocity[J]. Space Medicine Medical Engineering, 2011, 24(6): 467-472. doi: 10.16289/j.cnki.1002-0837.2001.06.010.

MOHAMMAD Kachuee, MOHAMMAD Mahdi Kiani, HODA Mohammadzade, et al. Cuffless blood pressure estimation algorithms for continuous health-care monitoring [J]. IEEE Transactions on Biomedical Engineering, 2017, 64(4): 859-869. doi: 10.1109/TBME.2016.2580904.

季忠, 刘旭. 基于波形特征和小波的脉搏波特征点识别研究[J]. 仪器仪表学报, 2016, 37(2): 379-386.

JI Zhong and LIU Xu. Study on feature points recognition of pulse wave based on waveform feature and wavelet[J]. Chinese Journal of Scientific Instrument, 2016, 37(2): 379-386.

于潇. 基于脉搏波速度的无创连续血压测量系统研究[D]. [硕士论文], 吉林大学, 2013.

YU Xiao. A non-invasive continuous blood pressure measurement system based on pulse wave velocity[D]. [Master dissertation], Jilin University, 2013.

吕海姣, 严壮志, 陆维嘉. 一种基于脉搏波的无创连续血压测量方法[J]. 中国医疗器械杂志, 2011, 35(3): 169-173.

L Haijiao, YAN Zhuangzhi, and LU Weijia. A noninvasive and continuous method for blood pressure measurement using pulse wave[J]. Chinese Journal of Medical Instrumentation, 2011, 35(3): 169-173.

张珣, 傅伟伟. 基于脉搏波速法的动态血压测量系统设计[J]. 电子科技, 2014, 27(1): 63-66. doi: 10.16180/j.cnki.issn1007- 7820.2014.01.010.

ZHANG Xun and FU Weiwei. Design of dynamic blood pressure measurement system based on pulse wave velocity[J]. Electronic Science and Technology, 2014, 27(1): 63-66. doi: 10.16180/j.cnki.issn1007-7820.2014.01.010.

NEUMAN M R. Measurement of blood pressure[J] . IEEE Engineering in Medicine and Biology Society, 2011, 2(2): 39-44. doi: 10.1109/MPUL.2011.940568.

李章俊, 王成, 朱浩, 等. 基于光电容积脉搏波描记法的无创连续血压测量[J]. 中国生物医学工程学报, 2012, 31(4): 607-614.

LI Zhangjun, WANG Cheng, ZHU Hao, et al. The research progress of non-invasive and continuous blood pressure measurement based on photoplethysmography[J]. Chinese Journal of Biomedical Engineering, 2012, 31(4): 607-614.

刘宝华, 任晓华. 脉搏波传导速度测量算法的研究及其进展[J]. 生物医学工程学杂志, 2010, 27(1): 231-235.

LIU Baohua and REN Xiaohua. Research and advance in the measurement of pulse wave velocity[J]. Journal of Biomedical Engineering, 2010, 27(1): 231-235.

李明霞, 张永杰, 孙培培, 等. 脉搏波波速特征点新算法[J]. 现代电子技术, 2012, 35(3): 132-134. doi: 10.16652/j.issn. 1004-373x.2012.03.019.

LI Mingxia, ZHANG Yongjie, SUN Peipei, et al. New algorithm of calculating feature point of pulse wave velocity [J]. Modern Electronics Technique, 2012, 35(3): 132-134. doi: 10.16652/j.issn.1004-373x.2012.03.019.

李申龙, 李毅彬, 李洪阳, 等. 基于脉搏波相位差的无创连续血压测量方法[J]. 传感器与微系统, 2016, 35(1): 62-64. doi: 10.13873/J.1000-9787(2016)01-0062-03.

LI Shenlong, LI Yibin, LI Hongyang, et al. Non-invasive continuous measurement method of blood pressure based on phase difference of pulse wave[J]. Transducer and Microsystem Technologies, 2016, 35(1): 62-64. doi: 10.13873/ J.1000-9787(2016)01-0062-03.

刘宝华, 朱红莲, 任晓华. 小波用于脉搏波速度测量及去噪[J]. 生物医学工程学杂志, 2011, 28(1): 54-57.

LIU Baohua, ZHU Honglian, and REN Xiaohua. De-noising and measurement of pulse wave velocity of the wavelet[J]. Journal of Biomedical Engineering, 2011, 28(1): 54-57.

NABEEL P M, JOSEPH J, AWASTHI V, et al. Single source photoplethysmograph transducer for local pulse wave velocity measurement[C]. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, 2016: 4256-4259. doi: 10.1109/ EMBC.2016.7591667.

黎秀龙. 基于外周动脉波形分析的Multi-PWV获取方法[D]. [硕士论文], 中国科学技术大学, 2011.

LI Xiulong. A multi-PWV acquisition method based on peripheral artery waveform analysis[D]. [Master dissertation], University of Science and Technology of China, 2011.

施引文献

资源附件(0)

访问统计