Ellis Timothy, McNames James, Goldstein Brahm
Department of Electrical and Computer Engineering, Portland State University, Portland, OR 97201, USA.
IEEE Trans Biomed Eng. 2008 Apr;55(4):1399-407. doi: 10.1109/TBME.2007.906491.
The mean pressure is a term used to describe the baseline trend of physiological pressure signals that excludes fluctuations due to the cardiac cycle and, in some cases, the respiratory cycle. In many clinical applications and bedside monitoring devices, the mean pressure is estimated with a 3-8 s moving average. We suggest that the mean pressure is best defined in terms of its frequency domain properties. This definition makes it possible to determine solutions that are both optimal and practical. We demonstrate that established methods of optimal finite impulse response (FIR) filter design produce estimates of the mean pressure that are significantly more accurate than the moving average. These filters have no more computational cost, are less sensitive to artifact, have shorter delays, and greater sensitivity to acute events.
平均压力是一个用于描述生理压力信号基线趋势的术语，它排除了由于心动周期以及某些情况下呼吸周期引起的波动。在许多临床应用和床边监测设备中，平均压力是通过3至8秒的移动平均值来估计的。我们认为，平均压力最好根据其频域特性来定义。这一定义使得确定既优化又实用的解决方案成为可能。我们证明，已确立的最优有限脉冲响应（FIR）滤波器设计方法所产生的平均压力估计值比移动平均值要准确得多。这些滤波器计算成本更低，对伪差更不敏感，延迟更短，并且对急性事件更敏感。
