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Nonlinear Cuffless Blood Pressure Estimation of Healthy Subjects Using Pulse Transit Time and Arrival Time

机译:使用脉搏传播时间和到达时间的健康受试者的非线性无袖带血压估计

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摘要

This paper presents a novel blood pressure (BP) estimation method based on pulse transit time (PTT) and pulse arrival time (PAT) to estimate the systolic BP (SBP) and the diastolic BP (DBP). A data acquisition hardware is designed for high-resolution sampling of phonocardiogram (PCG), photoplethysmogram, and electrocardiogram (ECG). PCG and ECG perform as the proximal timing reference to obtain PTT and PAT indices, respectively. In order to derive a BP estimator model, a calibration procedure, including a supervised physical exercise, is conducted for each individual, which causes changes in their BP, and then, a number of reference BPs are measured alongside the acquisition of the signals per subject. It is suggested to use a force-sensing resistor that is placed under the cuff of the BP reference device to mark the exact moments of reference BP measurements, which are corresponding to the inflation of the cuff. Additionally, a novel BP estimator nonlinear model, based on the theory of elastic tubes, is introduced to estimate the BP using PTT/PAT values precisely. The proposed method is evaluated on 32 subjects. Using the PTT index, the correlation coefficients for SBP and DBP estimation are 0.89 and 0.84, respectively. Using the PAT index, the correlation coefficients for SBP and DBP estimation are 0.95 and 0.84, respectively. The results show that the proposed method, exploiting the introduced nonlinear model with the use of PAT index or PTT index, provides a reliable estimation of SBP and DBP.
机译:本文提出了一种基于脉搏传播时间(PTT)和脉搏到达时间(PAT)的新的血压估计方法,以估计收缩压(SBP)和舒张压(DBP)。数据采集​​硬件旨在用于心电图(PCG),光电容积描记图和心电图(ECG)的高分辨率采样。 PCG和ECG分别作为近端计时参考,以获取PTT和PAT指数。为了导出BP估算器模型,对每个人进行包括有监督的体育锻炼的校准过程,这会导致其BP发生变化,然后在获取每个受试者的信号的同时测量多个参考BP。 。建议使用放置在BP参考装置袖带下的力敏电阻器来标记参考BP测量的确切力矩,该力矩对应于袖带的充气。此外,基于弹性管理论,提出了一种新颖的BP估计器非线性模型,可以使用PTT / PAT值精确估计BP。该方法在32个主题上进行了评估。使用PTT指数,SBP和DBP估计的相关系数分别为0.89和0.84。使用PAT指数,SBP和DBP估计的相关系数分别为0.95和0.84。结果表明,该方法利用PAT指数或PTT指数利用引入的非线性模型,提供了对SBP和DBP的可靠估计。

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