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%.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.
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