• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

示波法血压测量的数学建模:完整的、简化的脉搏波模型。

Mathematical Modeling of Oscillometric Blood Pressure Measurement: A Complete, Reduced Oscillogram Model.

出版信息

IEEE Trans Biomed Eng. 2023 Feb;70(2):715-722. doi: 10.1109/TBME.2022.3201433. Epub 2023 Jan 19.

DOI:10.1109/TBME.2022.3201433
PMID:36006885
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9958264/
Abstract

OBJECTIVE

Oscillogram modeling is a powerful tool for understanding and advancing popular oscillometric blood pressure (BP) measurement. A reduced oscillogram model relating cuff pressure oscillation amplitude ( ∆O) to external cuff pressure of the artery ( P) is: [Formula: see text], where g(P) is the arterial compliance versus transmural pressure ( P) curve, P and P are systolic and diastolic BP, and k is the reciprocal of the cuff compliance. The objective was to determine an optimal functional form for the arterial compliance curve.

METHODS

Eight prospective, three-parameter functions of the brachial artery compliance curve were compared. The study data included oscillometric arm cuff pressure waveforms and invasive brachial BP from 122 patients covering a 20-120 mmHg pulse pressure range. The oscillogram measurements were constructed from the cuff pressure waveforms. Reduced oscillogram models, inputted with measured systolic and diastolic BP and each parametric brachial artery compliance curve function, were optimally fitted to the oscillogram measurements in the least squares sense.

RESULTS

An exponential-linear function yielded as good or better model fits compared to the other functions, with errors of 7.9±0.3 and 5.1±0.2% for tail-trimmed and lower half-trimmed oscillogram measurements. Importantly, this function was also the most tractable mathematically.

CONCLUSION

A three-parameter exponential-linear function is an optimal form for the arterial compliance curve in the reduced oscillogram model and may thus serve as the standard function for this model henceforth.

SIGNIFICANCE

The complete, reduced oscillogram model determined herein can potentially improve oscillometric BP measurement accuracy while advancing foundational knowledge.

摘要

目的

振子图建模是理解和推动流行的示波法血压(BP)测量的强大工具。一个将袖带压力振荡幅度(ΔO)与动脉外部袖带压力(P)相关联的简化振子图模型为:[公式:见正文],其中 g(P)是动脉顺应性与跨壁压(P)曲线,P 和 P 是收缩压和舒张压,k 是袖带顺应性的倒数。目的是确定动脉顺应性曲线的最佳函数形式。

方法

比较了 8 种前瞻性的、三参数的肱动脉顺应性曲线函数。研究数据包括来自 122 例患者的示波法手臂袖带压力波形和侵入性肱动脉血压,涵盖了 20-120mmHg 的脉压范围。振子图测量值是从袖带压力波形构建的。输入测量的收缩压和舒张压以及每个参数化肱动脉顺应性曲线函数的简化振子图模型,以最小二乘法最佳拟合振子图测量值。

结果

与其他函数相比,指数线性函数产生了相同或更好的模型拟合,对于修剪尾部和修剪下半部分的振子图测量值,误差分别为 7.9±0.3%和 5.1±0.2%。重要的是,该函数在数学上也最具可操作性。

结论

三参数指数线性函数是简化振子图模型中动脉顺应性曲线的最佳形式,因此可能成为该模型的标准函数。

意义

本文确定的完整简化振子图模型有可能在提高示波法 BP 测量精度的同时,推进基础理论知识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/9958264/3145aa6ebbc8/nihms-1867001-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/9958264/8336106310f3/nihms-1867001-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/9958264/919b2725f733/nihms-1867001-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/9958264/97c2b68cf4f3/nihms-1867001-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/9958264/54e3d790eb37/nihms-1867001-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/9958264/d5788685a8c8/nihms-1867001-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/9958264/3145aa6ebbc8/nihms-1867001-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/9958264/8336106310f3/nihms-1867001-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/9958264/919b2725f733/nihms-1867001-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/9958264/97c2b68cf4f3/nihms-1867001-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/9958264/54e3d790eb37/nihms-1867001-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/9958264/d5788685a8c8/nihms-1867001-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7aa7/9958264/3145aa6ebbc8/nihms-1867001-f0006.jpg

相似文献

1
Mathematical Modeling of Oscillometric Blood Pressure Measurement: A Complete, Reduced Oscillogram Model.示波法血压测量的数学建模:完整的、简化的脉搏波模型。
IEEE Trans Biomed Eng. 2023 Feb;70(2):715-722. doi: 10.1109/TBME.2022.3201433. Epub 2023 Jan 19.
2
Smartphone-Based Blood Pressure Monitoring via the Oscillometric Finger Pressing Method: Analysis of Oscillation Width Variations Can Improve Diastolic Pressure Computation.基于智能手机的示波法血压监测:分析震荡宽度变化可改善舒张压计算。
IEEE Trans Biomed Eng. 2023 Nov;70(11):3052-3063. doi: 10.1109/TBME.2023.3275031. Epub 2023 Oct 19.
3
Formulas to Explain Popular Oscillometric Blood Pressure Estimation Algorithms.用于解释常用示波法血压估计算法的公式。
Front Physiol. 2019 Nov 21;10:1415. doi: 10.3389/fphys.2019.01415. eCollection 2019.
4
Changes of oscillogram envelope maximum with blood pressure and aging: a quantitative observation.示波图包络最大值随血压及衰老的变化:定量观察
Physiol Meas. 2022 Dec 1;43(11). doi: 10.1088/1361-6579/aca26d.
5
Central Blood Pressure Monitoring via a Standard Automatic Arm Cuff.通过标准自动臂带进行中心血压监测。
Sci Rep. 2017 Oct 31;7(1):14441. doi: 10.1038/s41598-017-14844-5.
6
A mathematical study of some biomechanical factors affecting the oscillometric blood pressure measurement.影响示波法血压测量的一些生物力学因素的数学研究。
IEEE Trans Biomed Eng. 1996 Aug;43(8):761-78. doi: 10.1109/10.508540.
7
Comparison of effects of peripheral vasculature on tonometric radial pulse and cuff-based brachial pulse waveform as used in estimation of central aortic pressures.外周血管系统对用于估计中心主动脉压的眼压计测量桡动脉脉搏和袖带式肱动脉脉搏波形的影响比较。
Annu Int Conf IEEE Eng Med Biol Soc. 2023 Jul;2023:1-4. doi: 10.1109/EMBC40787.2023.10340973.
8
Effect of mechanical behaviour of the brachial artery on blood pressure measurement during both cuff inflation and cuff deflation.肱动脉力学行为在袖带充气和袖带放气过程中对血压测量的影响。
Blood Press Monit. 2013 Oct;18(5):265-71. doi: 10.1097/MBP.0b013e3283651d55.
9
Cuff Under Pressure for Greater Accuracy.袖带施压以提高准确性。
Curr Hypertens Rep. 2020 Sep 22;22(11):93. doi: 10.1007/s11906-020-01103-8.
10
Measurement of central aortic pulse pressure: noninvasive brachial cuff-based estimation by a transfer function vs. a novel pulse wave analysis method.中心主动脉脉搏压的测量:应用传递函数的无创肱动脉袖带估计法与新型脉搏波分析方法的比较。
Am J Hypertens. 2012 Nov;25(11):1162-9. doi: 10.1038/ajh.2012.116. Epub 2012 Aug 9.

引用本文的文献

1
Oscillometric blood pressure measurement: modeling and analysis of the area oscillogram and height oscillogram.示波法血压测量:面积示波图和高度示波图的建模与分析。
Front Physiol. 2025 Jun 18;16:1611096. doi: 10.3389/fphys.2025.1611096. eCollection 2025.
2
A smartphone application toward detection of systolic hypertension in underserved populations.一款用于检测服务不足人群收缩期高血压的智能手机应用程序。
Sci Rep. 2024 Jul 4;14(1):15410. doi: 10.1038/s41598-024-65269-w.
3
Development of a Personalized Multiclass Classification Model to Detect Blood Pressure Variations Associated with Physical or Cognitive Workload.

本文引用的文献

1
Cuffless Blood Pressure Measurement.无袖带血压测量。
Annu Rev Biomed Eng. 2022 Jun 6;24:203-230. doi: 10.1146/annurev-bioeng-110220-014644. Epub 2022 Apr 1.
2
Formulas to Explain Popular Oscillometric Blood Pressure Estimation Algorithms.用于解释常用示波法血压估计算法的公式。
Front Physiol. 2019 Nov 21;10:1415. doi: 10.3389/fphys.2019.01415. eCollection 2019.
3
An iPhone Application for Blood Pressure Monitoring via the Oscillometric Finger Pressing Method.一种通过示波法手指按压测量血压的 iPhone 应用程序。
开发一种个性化的多类分类模型,以检测与体力或认知工作量相关的血压变化。
Sensors (Basel). 2024 Jun 6;24(11):3697. doi: 10.3390/s24113697.
4
A Continuous Non-Invasive Blood Pressure Prediction Method Based on Deep Sparse Residual U-Net Combined with Improved Squeeze and Excitation Skip Connections.基于深度稀疏残差 U-Net 结合改进的挤压激励跳跃连接的连续无创血压预测方法。
Sensors (Basel). 2024 Apr 24;24(9):2721. doi: 10.3390/s24092721.
5
Nonlinear Viscoelastic Modeling of Finger Arteries: Toward Smartphone-Based Blood Pressure Monitoring via the Oscillometric Finger Pressing Method.手指动脉的非线性黏弹性建模:通过示波法的智能手机指压式血压监测。
IEEE Trans Biomed Eng. 2024 Sep;71(9):2708-2717. doi: 10.1109/TBME.2024.3388316. Epub 2024 Aug 21.
6
Smartphone-Based Blood Pressure Monitoring via the Oscillometric Finger Pressing Method: Analysis of Oscillation Width Variations Can Improve Diastolic Pressure Computation.基于智能手机的示波法血压监测:分析震荡宽度变化可改善舒张压计算。
IEEE Trans Biomed Eng. 2023 Nov;70(11):3052-3063. doi: 10.1109/TBME.2023.3275031. Epub 2023 Oct 19.
Sci Rep. 2018 Sep 3;8(1):13136. doi: 10.1038/s41598-018-31632-x.
4
Smartphone-based blood pressure monitoring via the oscillometric finger-pressing method.基于示波法的智能手机指压式血压监测。
Sci Transl Med. 2018 Mar 7;10(431). doi: 10.1126/scitranslmed.aap8674.
5
Patient-Specific Oscillometric Blood Pressure Measurement: Validation for Accuracy and Repeatability.针对特定患者的示波法血压测量:准确性和可重复性验证
IEEE J Transl Eng Health Med. 2016 Dec 14;5:1900110. doi: 10.1109/JTEHM.2016.2639481. eCollection 2017.
6
Patient-Specific Oscillometric Blood Pressure Measurement.针对个体患者的示波法血压测量。
IEEE Trans Biomed Eng. 2016 Jun;63(6):1220-1228. doi: 10.1109/TBME.2015.2491270. Epub 2015 Oct 15.
7
Oscillometric blood pressure: a review for clinicians.示波法血压测量:临床医生综述
J Am Soc Hypertens. 2014 Dec;8(12):930-8. doi: 10.1016/j.jash.2014.08.014. Epub 2014 Sep 2.
8
Measurement accuracy of a stand-alone oscillometric central blood pressure monitor: a validation report for Microlife WatchBP Office Central.独立式示波法中央血压计的测量准确性:Microlife WatchBP Office Central 的验证报告。
Am J Hypertens. 2013 Jan;26(1):42-50. doi: 10.1093/ajh/hps021.
9
Error mechanisms of the oscillometric fixed-ratio blood pressure measurement method.振荡法固定比血压测量方法的误差机制。
Ann Biomed Eng. 2013 Mar;41(3):587-97. doi: 10.1007/s10439-012-0700-7. Epub 2012 Nov 21.
10
Oscillometric measurement of systolic and diastolic blood pressures validated in a physiologic mathematical model.在生理数学模型中验证了收缩压和舒张压的示波测量。
Biomed Eng Online. 2012 Aug 22;11:56. doi: 10.1186/1475-925X-11-56.