Literature DB >> 19603270

Continuous and noninvasive blood pressure measurement: a novel modeling methodology of the relationship between blood pressure and pulse wave velocity.

Yan Chen1, Changyun Wen, Guocai Tao, Min Bi, Guoqi Li.   

Abstract

In this paper, we aim to establish a new mathematical model that relates pulse wave velocity (PWV) to blood pressure (BP) for continuous and noninvasive BP measurement. For the first time, we derive an ordinary differential equation (ODE) expressing the fundamental relation between BP, elastic modulus G and PWV. The general solution of this ODE is the mathematical BP-PWV model. In our model, the elastic modulus G is included in model parameters, unlike the existing theoretical models. This enables us to express the BP-PWV relationship for subjects of different ages and genders. A family of BP-PWV functions for specific age and gender groups can be obtained using statistical methods based on clinical trial data, which serve as the calibrated benchmark models for continuous and noninvasive BP measurement. To illustrate the modeling methodology, we construct benchmark models for people aged 19 and 60 and apply them to continuous diastolic blood pressure (DBP) measurement without individual calibration. The results of clinical tests meet the test standard in ANSI/AAMI SP10, which attests the feasibility of the modeling methodology.

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Year:  2009        PMID: 19603270     DOI: 10.1007/s10439-009-9759-1

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  22 in total

1.  The effect of aortic wall and aortic leaflet stiffening on coronary hemodynamic: a fluid-structure interaction study.

Authors:  S Nobari; R Mongrain; R Leask; R Cartier
Journal:  Med Biol Eng Comput       Date:  2013-04-03       Impact factor: 2.602

2.  Continuous blood pressure measurement by using the pulse transit time: comparison to a cuff-based method.

Authors:  Heiko Gesche; Detlef Grosskurth; Gert Küchler; Andreas Patzak
Journal:  Eur J Appl Physiol       Date:  2011-05-10       Impact factor: 3.078

3.  Corrigendum: Cerebral Autoregulation Evidenced by Synchronized Low Frequency Oscillations in Blood Pressure and Resting-State fMRI.

Authors:  Joseph R Whittaker; Ian D Driver; Marcello Venzi; Molly G Bright; Kevin Murphy
Journal:  Front Neurosci       Date:  2020-06-24       Impact factor: 4.677

4.  Toward Ubiquitous Blood Pressure Monitoring via Pulse Transit Time: Theory and Practice.

Authors:  Ramakrishna Mukkamala; Jin-Oh Hahn; Omer T Inan; Lalit K Mestha; Chang-Sei Kim; Hakan Töreyin; Survi Kyal
Journal:  IEEE Trans Biomed Eng       Date:  2015-06-05       Impact factor: 4.538

5.  Cuffless and Continuous Blood Pressure Estimation from the Heart Sound Signals.

Authors:  Rong-Chao Peng; Wen-Rong Yan; Ning-Ling Zhang; Wan-Hua Lin; Xiao-Lin Zhou; Yuan-Ting Zhang
Journal:  Sensors (Basel)       Date:  2015-09-17       Impact factor: 3.576

6.  Comparison of noninvasive pulse transit time estimates as markers of blood pressure using invasive pulse transit time measurements as a reference.

Authors:  Mingwu Gao; N Bari Olivier; Ramakrishna Mukkamala
Journal:  Physiol Rep       Date:  2016-05

7.  The Effects of Hemodynamic Changes on Pulse Wave Velocity in Cardiothoracic Surgical Patients.

Authors:  Yurie Obata; Maki Mizogami; Sarabdeep Singh; Daniel Nyhan; Dan E Berkowitz; Jochen Steppan; Viachaslau Barodka
Journal:  Biomed Res Int       Date:  2016-11-09       Impact factor: 3.411

8.  Analysis for the Influence of ABR Sensitivity on PTT-Based Cuff-Less Blood Pressure Estimation before and after Exercise.

Authors:  Yang Xu; Peng Ping; Dong Wang; Weigong Zhang
Journal:  J Healthc Eng       Date:  2018-10-08       Impact factor: 2.682

9.  A blood pressure monitoring method for stroke management.

Authors:  Heather Ting Ma
Journal:  Biomed Res Int       Date:  2014-08-17       Impact factor: 3.411

10.  Hybrid Optical Unobtrusive Blood Pressure Measurements.

Authors:  Guangfei Zhang; Caifeng Shan; Ihor Kirenko; Xi Long; Ronald M Aarts
Journal:  Sensors (Basel)       Date:  2017-07-01       Impact factor: 3.576

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