首页> 外文会议>International astronautical congress >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:一种新的算法,以利用外围动脉血压值连续监测总外围电阻的变化,以预测直向性不耐受

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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:本文介绍和验证一种新颖的算法,通过使用外周动脉血压(ABP)的波形连续估计总外周阻力(TPR)的变化。 TPR是一个重要的心血管指标进行监控,因为低TPR被认为是航天员的飞行后立位耐力不良的指标。在估计TPR的变化,我们的算法使用舒张,而不是收缩,ABP值。的假设是,舒张压值比收缩值以通过动脉脉管系统引起的脉冲传播波形失真更不敏感,这表明使用舒张末期ABP值将增加TPR估计精度。我们的算法首先计算支配在这样一种方式,计算并测量ABP波形具有在舒张压值一致外围ABP舒张衰减的Windkessel时间常数。然后,TPR,正比于弹性贮时间常数,对一拍心跳的基础上给出。为了验证我们的算法,以前记录的约克夏猪数据集进行处理和分析。达到14.0%的总均方根归一化误差。我们的算法证明了TPR的连续监测,从外围ABP的变化,并有预知宇航员的飞行后立位耐力的潜力。

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