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研究颈动脉血压与远端脉搏容积波形之间的黏弹性关系。

Investigation of Viscoelasticity in the Relationship Between Carotid Artery Blood Pressure and Distal Pulse Volume Waveforms.

出版信息

IEEE J Biomed Health Inform. 2018 Mar;22(2):460-470. doi: 10.1109/JBHI.2017.2672899. Epub 2017 Feb 22.

DOI:10.1109/JBHI.2017.2672899
PMID:28237937
Abstract

We investigated the relationship between carotid artery blood pressure (BP) and distal pulse volume waveforms (PVRs) via subject-specific mathematical modeling. We conceived three physical models to define the relationship: a tube-load model augmented with a gain (TLG), Voigt (TLV), and standard linear solid (TLS) models. We compared these models using PVRs measured via BP cuffs at an upper arm and an ankle as well as carotid artery tonometry waveform collected from 133 subjects. At both upper arm and ankle, PVR was related to carotid artery tonometry by TLV and TLS models better than by TLG model; when root-mean-squared over all the subjects, the systolic and diastolic BP errors between measured carotid artery tonometry waveform and the one estimated from distal PVR reduced from 4.3 mmHg and 4.6 mmHg (TLG) to 1.1 mmHg and 1.0 mmHg (TLS) for the upper arm (p < 0.0167), and from 2.1 mmHg and 1.7 mmHg (TLG) to 2.1 mmHg and 1.5 mmHg (TLV) for the ankle. Further, TLV and TLS models exhibited superior Akaike's Information Criterion (AIC) in both locations than TLG model. However, the difference between TLG versus TLV and TLS models associated with the ankle was not large. Therefore, the relationship of central arterial BP to arm PVR arises from both wave reflection and viscoelasticity while the relationship to ankle PVR mainly arises from wave reflection. These findings may imply that an effective subject-specific transfer function for estimating accurate central arterial BP from an arm PVR should account for the impact of viscoelasticity.

摘要

我们通过个体特异性数学建模研究了颈动脉血压(BP)与远端脉搏容积波形(PVR)之间的关系。我们构思了三种物理模型来定义这种关系:带有增益的管载模型(TLG)、Voigt 模型(TLV)和标准线性固体模型(TLS)。我们使用通过上臂和脚踝处的血压袖带测量的 PVR 以及从 133 名受试者收集的颈动脉测压波形对这些模型进行了比较。在上臂和脚踝处,TLV 和 TLS 模型比 TLG 模型更好地将 PVR 与颈动脉测压波形联系起来;当所有受试者的均方根误差时,从测量的颈动脉测压波形和从远端 PVR 估计的颈动脉测压波形之间的收缩压和舒张压误差从 TLG 模型的 4.3mmHg 和 4.6mmHg 分别降低到 TLS 模型的 1.1mmHg 和 1.0mmHg(上臂,p < 0.0167),从 TLG 模型的 2.1mmHg 和 1.7mmHg 分别降低到 TLV 模型的 2.1mmHg 和 1.5mmHg(脚踝)。此外,TLV 和 TLS 模型在两个部位的 Akaike 信息准则(AIC)均优于 TLG 模型。然而,与脚踝相关的 TLG 与 TLV 和 TLS 模型之间的差异并不显著。因此,中心动脉 BP 与手臂 PVR 的关系既源于波反射又源于粘弹性,而与脚踝 PVR 的关系主要源于波反射。这些发现可能意味着,用于从手臂 PVR 准确估计中心动脉 BP 的有效个体特异性传递函数应该考虑粘弹性的影响。

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