基于“T-tube”模型的中心动脉脉搏波无创双通道盲辨识

entral Aortic Pulse wave (CAP) is very important in the prediction and treatment of Cardiovascular System (CVS) diseases because it provides tremendous physiological and pathological information of human CVS. In order to monitor CVS non-invasively and effectively, a new method based on Multi-channel Blind System Identification (MBSI) was proposed in this paper to reconstruct CAP from two channel noninvasive Peripheral Aortic Pulse wave (PAP). Background, significance and relative achievements of former research works were introduced in the introduction of the paper. A "gray box" model of CVS was designed based on two-channel "T-tube" model, providing the theoretic foundation for MBSI algorithm. Effectiveness of the MBSI algorithm can be verified by the data from the "T-tube" model. In this paper, the equivalence of the IIR and high order FIR function has been proved. Based on this approximation, this paper successfully converts the IIR model into a FIR model, which greatly simplifies the MBSI algorithm. Verification results show that MBSI algorithm can estimate CAP stably and accurately. The overall error rate, error of systolic pressures and error of diastolic pressures produce by the MBSI algorithm are less than 7.2%, 4.6 mmHg, 4.2 mmHg respectively.