Hybrid Adaptive Kalman Filter: Calibrating a Hemodynamic Model for Continuous Arterial Pressure Monitoring

Yi Zhang, H. Asada
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Abstract

A Hybrid Adaptive Kalman Filter (HAKF), consisting of a continuous Standard Kalman Filter (SKF) and an intermittent Least Squares Parameter Estimator (LSPE), is proposed to calibrate the hemodynamic model for continuous arterial pressure monitoring. Simulations of the HAKF using a classic Windkessel model are carried out to prove the principle of the proposal.
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提出了一种由连续标准卡尔曼滤波器(SKF)和间歇最小二乘参数估计器(LSPE)组成的混合自适应卡尔曼滤波器(HAKF),用于校准连续动脉压力监测的血流动力学模型。利用经典的Windkessel模型对haf进行了仿真,验证了该方法的原理。
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