Journal of Northeastern University Natural Science ›› 2015, Vol. 36 ›› Issue (2): 199-204.DOI: 10.12068/j.issn.1005-3026.2015.02.010

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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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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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