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A robust Fourier-based method to measure pulse pressure variability

机译:一种坚固的基于傅里叶的方法来测量脉冲压力变化

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摘要

Objective: To propose a new method to estimate pulse pressure variability (PPV) in the arterial blood pressure waveform.Methods: Traditional techniques of calculating PPV using peak finding have a fundamental flaw that prevents them from accurately resolving PPV for small tidal volumes, limiting the use of PPV to only mechanical ventilated patients. The improved method described here addresses this limitation using Fourier analysis of an oscillatory signal that exhibits a time-varying modulation of its amplitude. The analysis reveals a constraint on the spectral representation that must be satisfied for any oscillatory signal that exhibits a time-varying modulation of its amplitude. This intrinsic mathematical structure is taken advantage of in order to improve the robustness of the algorithm.Results: The applicability of the method is tested using synthetic data and 100 h of physiologic data collected from patients admitted to Texas Children's Hospital.Significance and conclusion: The proposed method accurately recovers values of PPV at signal-to-noise ratios six times smaller than the traditional method. This is a significant advance for the potential use of PPV to recognize fluid responsiveness during low tidal volume ventilation or spontaneous breathing for which the signal-to-noise ratio is expected to be small. (C) 2020 Elsevier Ltd. All rights reserved.
机译:目的:提出一种新方法来估算动脉血压波形中的脉冲压力变异性(PPV)。方法:使用峰值发现计算PPV的传统技术具有基本缺陷,防止他们准确地解决小型潮汐量,限制使用PPV仅为机械通风患者。这里描述的改进方法通过突出的振荡信号分析表现出对其振幅的时变调制的振荡信号来解决这个限制。该分析显示了对光谱表示的约束,该限制对于任何表现出其幅度的时变调制的任何振荡信号的满足。这种内在数学结构是有利的,以提高算法的稳健性。结果:使用合成数据测试该方法的适用性,从患者收集到德克萨斯州儿童医院的患者中收集的100小时。重要性和结论:该方法所提出的方法在比传统方法小于传统方法的六倍时精确地恢复PPV的值。这是PPV潜在使用PPV在低潮量通风或自发呼吸期间识别流体响应性的重要进步,预期信噪比是小的。 (c)2020 elestvier有限公司保留所有权利。

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