东北大学学报:自然科学版 ›› 2015, Vol. 36 ›› Issue (2): 199-204.DOI: 10.12068/j.issn.1005-3026.2015.02.010

• 信息与控制 • 上一篇    下一篇

基于“T-tube”模型的中心动脉脉搏波双通道盲辨识

王璐1, 冯澍婷2, 姚阳2, 徐礼胜2,3   

  1. (1. 东北大学 信息科学与工程学院, 辽宁 沈阳110819; 2. 东北大学 中荷生物医学与信息工程学院, 辽宁 沈阳110819; 3. 东北大学 医学影像计算教育部重点实验室, 辽宁 沈阳110819)
  • 收稿日期:2013-12-18 修回日期:2013-12-18 出版日期:2015-02-15 发布日期:2014-11-07
  • 通讯作者: 王璐
  • 作者简介:王璐(1980-),女,辽宁沈阳人,东北大学讲师,博士; 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); 教育部高等学校博士学科点专项科研基金资助项目(20110042120037); 中央高校基本科研业务费探索导向重点项目(N110219001); 中央高校基本科研业务费种子基金资助项目(N130404016).

Estimation of Central Aortic Pulse Wave Based on T-tube Model Using Two-Channel Blind System Identification

WANG Lu 1, FENG Shu-ting2, YAO Yang2, XU Li-sheng2,3   

  1. 1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China; 2. Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang 110819, China; 3.Key Laboratory of Medical Image Computing, Ministry of Education, Northeastern University, Shenyang 110819, China.
  • Received:2013-12-18 Revised:2013-12-18 Online:2015-02-15 Published:2014-11-07
  • Contact: WANG Lu
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摘要: 提出了由两路人体外周动脉脉搏波(peripheral artery pulse wave, PAP)来估计中心动脉脉搏波(central aortic pulse wave, CAP)的多通道盲辨识(multi-channel blind system identification, MBSI)方法,旨在实现心血管系统中心动脉脉搏波的实时无创连续监测.首先简单介绍了多通路盲辨识算法,并证明了心血管系统IIR模型特性可由FIR模型逼近,从而简化了MBSI算法.然后介绍了心血管“T-tube”模型,并结合两路外周动脉实测(肱动脉、股动脉)脉搏波来重建中心动脉脉搏波和辨识模型.结果表明,MBSI算法稳定性较好,估计出的CAP波形畸变率百分比小于6%、形态整体能量误差百分比小于3%.

关键词: 中心动脉脉搏波, 外周动脉脉搏波, “T-tube”模型, 多通道盲辨识, 无创测量

Abstract: In order to monitor cardiovascular system (CVS) non-invasively and effectively, a new method based on multi-channel blind system identification (MBSI) is proposed to reconstruct central aortic pulse wave (CAP) from two-channel noninvasive peripheral arterial pulse wave (PAP) and to identify the structures of the two cardiovascular channels. The infinite impulse response (IIR) model can be approximated by high order FIR functions, thus MBSI method is simplified. Then, the ‘T-tube’ model of CVS is employed to reconstruct the CAP from brachial pulse wave and femoral artery pulse wave. Verification results show that the MBSI algorithm can estimate CAP stably and accurately. The error of distortion rate and the error of overall energy of the proposed MBSI algorithm are less than 6% and 3%, respectively.

Key words: central aortic pulse wave, peripheral artery pulse wave, T-tube model, multi-channel blind identification, noninvasive measurement

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