Pulse waveform as an indicator of baseline offset in pulse transit time based blood pressure estimation

Chen Lin, Yuan Zhou, Hu Wang, Yao Wang
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引用次数: 2

Abstract

Cuff-less blood pressure (BP) estimation using pulse transit time (PTT) is a promising method for long-term BP monitoring. However, state-of-art PTT models are unable to trace the change of pressure baseline in subjects, which limits their application in long-term BP tracking. This study investigated the relationship between the change of pressure baseline and pulse waveform in long-term BP monitoring. In the study, a total of 36 subjects received daily monitoring of systolic BP (SBP) and PTT for over one month. Linear regression was used to develop the SBP-ln(PTT) model for each subject. SBP predictions with regression differences greater than + SD (7.63 mmHg) were assumed to be with positive/negative baseline offset. For each subject, 12 features extracted from pulse waveform were obtained and their values were converted to standard scores to quantify pulse waveform variation. Independent two-sample t-test showed five pulse wave features changed significantly when subjects' pressure baseline varied. Furthermore, the consistency of pulse waveform variation was validated over the change of pressure baseline in subjects. In summary, this study demonstrated that pulse waveform could indicate baseline offset in PTT-based BP estimation. By highlighting five pulse wave features, this study provides novel insights to overcome the challenge of frequent calibrations in long-term PTT-based BP monitoring.
在基于脉冲传递时间的血压估计中,脉搏波形作为基线偏移的指标
利用脉搏传递时间(PTT)估算无袖带血压(BP)是一种很有前途的长期血压监测方法。然而,目前的PTT模型无法追踪受试者血压基线的变化,这限制了其在长期血压跟踪中的应用。本研究探讨长期血压监测中血压基线变化与脉搏波形的关系。在这项研究中,共有36名受试者接受了一个多月的每日收缩压(SBP)和PTT监测。采用线性回归建立各受试者的SBP-ln(PTT)模型。假设回归差异大于+ SD (7.63 mmHg)的收缩压预测具有正/负基线偏移。对于每个受试者,从脉冲波形中提取12个特征,并将其值转换为标准分数,量化脉冲波形变化。独立双样本t检验显示,受试者血压基线变化时,5项脉搏波特征发生显著变化。此外,通过受试者压力基线的变化验证了脉搏波形变化的一致性。综上所述,本研究表明脉冲波形可以在基于ptt的BP估计中显示基线偏移。通过突出五个脉冲波特征,本研究为克服长期基于ptt的血压监测中频繁校准的挑战提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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