东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2014, Vol. 35 ›› Issue (11): 1539-1543.DOI: 10.12068/j.issn.1005-3026.2014.11.005

• 信息与控制 • 上一篇    下一篇

基于传递函数和指端脉搏波的桡动脉脉搏波重建

徐礼胜1,2，杜尚杰1，何殿宁1，杨琳3   

  1. (1. 东北大学 中荷生物医学与信息工程学院， 辽宁 沈阳110819; 2. 东北大学 医学影像计算教育部重点实验室， 辽宁 沈阳110819；3. 北京工业大学 生命科学与生物工程学院， 北京100124)
  • 收稿日期:2014-02-26 修回日期:2014-02-26 出版日期:2014-11-15 发布日期:2014-07-03
  • 通讯作者: 徐礼胜
  • 作者简介:徐礼胜(1975-)，男，安徽安庆人，东北大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(61374015，61202258)；教育部博士学科点专项基金资助项目(20110042120037)；中央高校基本科研业务费专项资金资助项目(N110219001)；辽宁省自然科学基金资助项目(201102067)；北京市教育委员会科技成果转化和产业化项目(PXM2013_014204_07_000069).

Radial Pulse Wave Reconstruction Based on the Transfer Function and Finger Pulse Wave

XU Lisheng1,2， DU Shangjie1， HE Dianning1， YANG Lin3   

  1. 1. SinoDutch Biomedical and Information Engineering School， Northeastern University， Shenyang 110819，China; 2. Medical Image Computing Key Laboratory， Ministry of Education， Northeastern University， Shenyang 110819，China; 3. College of Life Science and Bioengineering， Beijing University of Technology， Beijing 100124，China.
  • Received:2014-02-26 Revised:2014-02-26 Online:2014-11-15 Published:2014-07-03
  • Contact: XU Lisheng
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摘要： 桡动脉脉搏波的检测方法易受人体运动影响，因此提出了传递函数法通过指端脉搏波来估计桡动脉脉搏波.首先，通过分析窗宽和模型阶次建立指端脉搏波到桡动脉脉搏波的传递函数FIR模型；然后，使用测试数据评估模型对桡动脉脉搏波估计的精度.通过对10个受试者10d的样本数据进行分析处理，发现估计的桡动脉脉搏波与实测的桡动脉脉搏波最佳波形匹配度均在70%至92%范围内.结果表明使用传递函数法可以实现对桡动脉脉搏波的初步估计，该方法的提出为桡动脉脉搏波的检测提供了一种更简便的手段.

关键词: 桡动脉脉搏波, 传递函数, 指端脉搏波, FIR模型, 最佳波形匹配度

Abstract: The acquisition method of radial pulse wave is easily influenced by human body’s activities. The transfer function method was applied to estimate radial pulse wave using finger pulse wave. After the window size and the order of the model were being analyzed， the transfer function FIR model between radial pulse wave and finger pulse wave was set up firstly. Then the test data were used to estimate the radial artery pulse wave and verify the accuracy of the proposed model. By analyzing ten subjects’ data acquired in ten days， the best waveform match between the estimated and the measured radial artery pulse waves were in the range from 70% to 92%. It is notable that using the transfer function method could estimate radial pulse wave from finger pulse wave. This method provided a new easy way for monitoring radial pulse wave.

Key words: radial artery pulse wave, transfer function, finger pulse wave, FIR model, best waveform match

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