人体动脉血管的粘性流体力学模型与中心动脉血压估计

Abstract

It becomes a common understanding that central aortic systolic and/or pulse pressures (CAP) provide direct and accurate prediction for cardiovascular structural damage and cardiovascular outcomes. Existing methods for CAP measurement and estimation, namely, method based on general transfer function, and N-point moving averaging method, are rather empirical, and lack of theoretical foundation. Those methods also have inherent drawback that there are not personalized, and missing individual aortic characteristics. Here in this paper, we present a novel method of model-based central aortic pressure measurement and computing, referred to as MCAP. MCAP has solid theoretical foundation; a novel human aortic network model is proposed and developed based on viscous fluid mechanics theory. In MCAP, model parameters of individuals are computed from measured pulse wave of radial artery and brachial artery, the central aortic - radial artery transfer function is derived from the model, and finally, the central aortic pressure and pulse wave are obtained. We conducted an experiment at Cardiovascular Department of Beijing Hospital. Experimental results on 50 test cases have shown better performance of MCAP with comparison to GTF and N-point average method ( r MCAP = 0:9667, r GTF = 0:9025, r NPMA = 0:8099). The MCAP accuracy (Mean(SBP/DBP) =3.9 mmHg/3.6 mmHg, Stdev (SBP/DBP) = 7.7 mmHg/2.9 mmHg) of central artery systolic pressure and diastolic pressure is up to the standard of AAMI (Mean≤65 mmHg, Stdev≤68 mmHg).