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A calibration method for cuffless continue blood pressure measurement using Gaussian normalized pulse transit time

机译:使用高斯归一化脉冲传输时间的无袖连续血压测量的校准方法

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An accurate and convenient noninvasive continue measurement of blood pressure (BP) is of great importance for the evaluation of circulatory function and prognosis of some cardiovascular diseases in out-of-hospital setting. Pulse transit time (PTT) is the most popular indicator for cuff-less BP measurement. A considerable amount of researches has demonstrated the high correlation between PTT and systolic BP (SBP) and diastolic BP (DBP). However, the greatest challenge to implement it in practice is the calibration method to get the stable and accurate correlation between BP and PTT. In this study, a new normalized PTT-BP calibration method was proposed. This method first constructed a modified calibration model exploiting nPTT (PTT normalized by RR interval) instead of PTT, and then machine learning technology was utilized to train the model. Data from 42 volunteers was collected to evaluate the proposed method. In the correlation plot, the typical correlation coefficients for SBP, DBP with the reference BP were 0.961 and 0.867 respectively. When contrast with the original model using PTT, the proposed model realized a more accurate and stable measurement of SBP, DBP. These results indicated that the presented nPTT based method could better map the dynamic relation between PTT and BP.
机译:准确便捷的无创血压持续测量对院外环境中某些心血管疾病的循环功能和预后评估非常重要。脉冲传输时间(PTT)是无袖血压测量的最流行指标。大量研究表明,PTT与收缩压(SBP)和舒张压(DBP)之间具有高度相关性。然而,在实践中实现它的最大挑战是要获得BP和PTT之间稳定而准确的相关性的校准方法。在这项研究中,提出了一种新的归一化PTT-BP校准方法。该方法首先利用nPTT(通过RR间隔归一化的PTT)代替PTT构造了一种改进的校准模型,然后利用机器学习技术来训练模型。收集了来自42名志愿者的数据,以评估所提出的方法。在相关图中,SBP,DBP与参考BP的典型相关系数分别为0.961和0.867。当与使用PTT的原始模型进行对比时,提出的模型实现了对SBP,DBP的更准确和稳定的测量。这些结果表明,提出的基于nPTT的方法可以更好地映射PTT和BP之间的动态关系。

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