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)

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- 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

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参考文献(28)

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