首页> 外文会议>International astronautical congress;IAC 2008 >A NOVEL ALGORITHM TO CONTINUOUSLY MONITOR CHANGE OF TOTAL PERIPHERAL RESISTANCE USING PERIPHERAL ARTERIAL BLOOD PRESSURE VALUES FOR PREDICTION OF ORTHOSTATIC INTOLERANCE
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A NOVEL ALGORITHM TO CONTINUOUSLY MONITOR CHANGE OF TOTAL PERIPHERAL RESISTANCE USING PERIPHERAL ARTERIAL BLOOD PRESSURE VALUES FOR PREDICTION OF ORTHOSTATIC INTOLERANCE

机译:利用外周动脉血压值连续监测总外周电阻变化的新算法,用于预测矫形不耐受

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This paper introduces and validates a novel algorithm to continuously estimate changes of total peripheral resistance (TPR) by using peripheral arterial blood pressure (ABP) waveforms. TPR is an important cardiovascular index to monitor, because low TPR is believed to be an indicator of astronauts' post-flight orthostatic intolerance. In estimating changes of TPR, our algorithm uses diastolic, rather than systolic, ABP values. The hypothesis is that the diastolic pressure values are less sensitive than systolic values to waveform distortion caused by impulse propagation through the arterial vasculature, suggesting that use of end-diastolic ABP values would increase TPR estimation accuracy. Our algorithm first calculates the Windkessel time constant which governs diastolic decay in the peripheral ABP in such a way that computed and measured ABP waveforms have agreement in diastolic pressure values. Then, TPR, proportional to the Windkessel time constant, is given on a beat-to-beat basis. To validate our algorithm, previously recorded Yorkshire swine data sets were processed and analyzed. An overall root-mean square normalized error of 14.0% was achieved. Our algorithm demonstrated continuous monitoring of TPR changes from peripheral ABP, and has the potential to predict post-flight orthostatic intolerance of astronauts.
机译:本文介绍并验证了一种新颖的算法,该算法通过使用外周动脉血压(ABP)波形连续估算总外周电阻(TPR)的变化。 TPR是监测的重要心血管指标,因为低TPR被认为是宇航员飞行后体位不耐受的指标。在估算TPR的变化时,我们的算法使用舒张而非收缩ABP值。假设是舒张压值比收缩压值对脉动通过动脉血管系统传播所引起的波形失真的敏感度低,这表明使用舒张末期ABP值会增加TPR估计的准确性。我们的算法首先计算Windkessel时间常数,该常数控制外围ABP的舒张期衰减,使计算和测量的ABP波形与舒张期压力值一致。然后,在逐个拍子的基础上给出与Windkessel时间常数成比例的TPR。为了验证我们的算法,对先前记录的约克郡猪数据集进行了处理和分析。总体均方根归一化误差为14.0%。我们的算法展示了对来自外周ABP的TPR变化的连续监测,并具有预测宇航员飞行后体位不耐受的潜力。

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