Relation between blood pressure and pulse wave velocity for human arteries

Continuous monitoring of blood pressure, an essential measure of health status, typically requires complex, costly, and invasive techniques that can expose patients to risks of complications. Continuous, cuffless, and noninvasive blood pressure monitoring methods that correlate measured pulse wave v...

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Published inProceedings of the National Academy of Sciences - PNAS Vol. 115; no. 44; pp. 11144 - 11149
Main Authors Ma, Yinji, Choi, Jungil, Hourlier-Fargette, Aurélie, Xue, Yeguang, Chung, Ha Uk, Lee, Jong Yoon, Wang, Xiufeng, Xie, Zhaoqian, Kang, Daeshik, Wang, Heling, Han, Seungyong, Kang, Seung-Kyun, Kang, Yisak, Yu, Xinge, Slepian, Marvin J., Raj, Milan S., Model, Jeffrey B., Feng, Xue, Ghaffari, Roozbeh, Rogers, John A., Huang, Yonggang
Format Journal Article
LanguageEnglish
Published United States National Academy of Sciences 30.10.2018
Subjects
Arteries
Arteries - physiology
Blood Flow Velocity - physiology
Blood pressure
Blood Pressure - physiology
Blood Pressure Determination - methods
Blood vessels
Correlation analysis
Electrocardiography - methods
Empirical equations
Formulas (mathematics)
Heart rate
Humans
Measurement methods
Monitoring methods
Monitoring systems
Monitoring, Physiologic - methods
Physical Sciences
Pulsatile Flow - physiology
Pulse Wave Analysis - methods
Risk factors
Veins & arteries
Velocity
Wave velocity
arterial stiffness
blood pressure
pulse wave velocity
artery hyperelastic model
hemodynamics
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Abstract Continuous monitoring of blood pressure, an essential measure of health status, typically requires complex, costly, and invasive techniques that can expose patients to risks of complications. Continuous, cuffless, and noninvasive blood pressure monitoring methods that correlate measured pulse wave velocity (PWV) to the blood pressure via the Moens–Korteweg (MK) and Hughes Equations, offer promising alternatives. The MK Equation, however, involves two assumptions that do not hold for human arteries, and the Hughes Equation is empirical, without any theoretical basis. The results presented here establish a relation between the blood pressure P and PWV that does not rely on the Hughes Equation nor on the assumptions used in the MK Equation. This relation degenerates to the MK Equation under extremely low blood pressures, and it accurately captures the results of in vitro experiments using artificial blood vessels at comparatively high pressures. For human arteries, which are well characterized by the Fung hyperelastic model, a simple formula between P and PWV is established within the range of human blood pressures. This formula is validated by literature data as well as by experiments on human subjects, with applicability in the determination of blood pressure from PWV in continuous, cuffless, and noninvasive blood pressure monitoring systems.
AbstractList Continuous, cuffless, and noninvasive blood pressure monitoring by measuring the pulse wave velocity is generally considered to be a promising technique for noninvasive measurements. Previously reported relations between blood pressure and pulse wave velocity relation involve unrealistic assumptions that do not hold for human arteries, and also rely on empirical expressions without any theoretical basis. Here, an analytical model without such assumptions or empirical expressions is established to yield a relation between blood pressure and pulse wave velocity that has general utility for future work in continuous, cuffless, and noninvasive blood pressure monitoring. Continuous monitoring of blood pressure, an essential measure of health status, typically requires complex, costly, and invasive techniques that can expose patients to risks of complications. Continuous, cuffless, and noninvasive blood pressure monitoring methods that correlate measured pulse wave velocity (PWV) to the blood pressure via the Moens−Korteweg (MK) and Hughes Equations, offer promising alternatives. The MK Equation, however, involves two assumptions that do not hold for human arteries, and the Hughes Equation is empirical, without any theoretical basis. The results presented here establish a relation between the blood pressure P and PWV that does not rely on the Hughes Equation nor on the assumptions used in the MK Equation. This relation degenerates to the MK Equation under extremely low blood pressures, and it accurately captures the results of in vitro experiments using artificial blood vessels at comparatively high pressures. For human arteries, which are well characterized by the Fung hyperelastic model, a simple formula between P and PWV is established within the range of human blood pressures. This formula is validated by literature data as well as by experiments on human subjects, with applicability in the determination of blood pressure from PWV in continuous, cuffless, and noninvasive blood pressure monitoring systems.
Continuous monitoring of blood pressure, an essential measure of health status, typically requires complex, costly, and invasive techniques that can expose patients to risks of complications. Continuous, cuffless, and noninvasive blood pressure monitoring methods that correlate measured pulse wave velocity (PWV) to the blood pressure via the Moens-Korteweg (MK) and Hughes Equations, offer promising alternatives. The MK Equation, however, involves two assumptions that do not hold for human arteries, and the Hughes Equation is empirical, without any theoretical basis. The results presented here establish a relation between the blood pressure and PWV that does not rely on the Hughes Equation nor on the assumptions used in the MK Equation. This relation degenerates to the MK Equation under extremely low blood pressures, and it accurately captures the results of in vitro experiments using artificial blood vessels at comparatively high pressures. For human arteries, which are well characterized by the Fung hyperelastic model, a simple formula between and PWV is established within the range of human blood pressures. This formula is validated by literature data as well as by experiments on human subjects, with applicability in the determination of blood pressure from PWV in continuous, cuffless, and noninvasive blood pressure monitoring systems.
Continuous monitoring of blood pressure, an essential measure of health status, typically requires complex, costly, and invasive techniques that can expose patients to risks of complications. Continuous, cuffless, and noninvasive blood pressure monitoring methods that correlate measured pulse wave velocity (PWV) to the blood pressure via the Moens–Korteweg (MK) and Hughes Equations, offer promising alternatives. The MK Equation, however, involves two assumptions that do not hold for human arteries, and the Hughes Equation is empirical, without any theoretical basis. The results presented here establish a relation between the blood pressure P and PWV that does not rely on the Hughes Equation nor on the assumptions used in the MK Equation. This relation degenerates to the MK Equation under extremely low blood pressures, and it accurately captures the results of in vitro experiments using artificial blood vessels at comparatively high pressures. For human arteries, which are well characterized by the Fung hyperelastic model, a simple formula between P and PWV is established within the range of human blood pressures. This formula is validated by literature data as well as by experiments on human subjects, with applicability in the determination of blood pressure from PWV in continuous, cuffless, and noninvasive blood pressure monitoring systems.
Continuous monitoring of blood pressure, an essential measure of health status, typically requires complex, costly, and invasive techniques that can expose patients to risks of complications. Continuous, cuffless, and noninvasive blood pressure monitoring methods that correlate measured pulse wave velocity (PWV) to the blood pressure via the Moens-Korteweg (MK) and Hughes Equations, offer promising alternatives. The MK Equation, however, involves two assumptions that do not hold for human arteries, and the Hughes Equation is empirical, without any theoretical basis. The results presented here establish a relation between the blood pressure P and PWV that does not rely on the Hughes Equation nor on the assumptions used in the MK Equation. This relation degenerates to the MK Equation under extremely low blood pressures, and it accurately captures the results of in vitro experiments using artificial blood vessels at comparatively high pressures. For human arteries, which are well characterized by the Fung hyperelastic model, a simple formula between P and PWV is established within the range of human blood pressures. This formula is validated by literature data as well as by experiments on human subjects, with applicability in the determination of blood pressure from PWV in continuous, cuffless, and noninvasive blood pressure monitoring systems.Continuous monitoring of blood pressure, an essential measure of health status, typically requires complex, costly, and invasive techniques that can expose patients to risks of complications. Continuous, cuffless, and noninvasive blood pressure monitoring methods that correlate measured pulse wave velocity (PWV) to the blood pressure via the Moens-Korteweg (MK) and Hughes Equations, offer promising alternatives. The MK Equation, however, involves two assumptions that do not hold for human arteries, and the Hughes Equation is empirical, without any theoretical basis. The results presented here establish a relation between the blood pressure P and PWV that does not rely on the Hughes Equation nor on the assumptions used in the MK Equation. This relation degenerates to the MK Equation under extremely low blood pressures, and it accurately captures the results of in vitro experiments using artificial blood vessels at comparatively high pressures. For human arteries, which are well characterized by the Fung hyperelastic model, a simple formula between P and PWV is established within the range of human blood pressures. This formula is validated by literature data as well as by experiments on human subjects, with applicability in the determination of blood pressure from PWV in continuous, cuffless, and noninvasive blood pressure monitoring systems.
Continuous monitoring of blood pressure, an essential measure of health status, typically requires complex, costly, and invasive techniques that can expose patients to risks of complications. Continuous, cuffless, and noninvasive blood pressure monitoring methods that correlate measured pulse wave velocity (PWV) to the blood pressure via the Moens−Korteweg (MK) and Hughes Equations, offer promising alternatives. The MK Equation, however, involves two assumptions that do not hold for human arteries, and the Hughes Equation is empirical, without any theoretical basis. The results presented here establish a relation between the blood pressure P and PWV that does not rely on the Hughes Equation nor on the assumptions used in the MK Equation. This relation degenerates to the MK Equation under extremely low blood pressures, and it accurately captures the results of in vitro experiments using artificial blood vessels at comparatively high pressures. For human arteries, which are well characterized by the Fung hyperelastic model, a simple formula between P and PWV is established within the range of human blood pressures. This formula is validated by literature data as well as by experiments on human subjects, with applicability in the determination of blood pressure from PWV in continuous, cuffless, and noninvasive blood pressure monitoring systems.
Author Yu, Xinge
Kang, Daeshik
Feng, Xue
Wang, Xiufeng
Chung, Ha Uk
Huang, Yonggang
Raj, Milan S.
Choi, Jungil
Model, Jeffrey B.
Wang, Heling
Kang, Seung-Kyun
Slepian, Marvin J.
Lee, Jong Yoon
Han, Seungyong
Kang, Yisak
Ghaffari, Roozbeh
Rogers, John A.
Hourlier-Fargette, Aurélie
Ma, Yinji
Xue, Yeguang
Xie, Zhaoqian
Author_xml – sequence: 1
  givenname: Yinji
  surname: Ma
  fullname: Ma, Yinji
  organization: Department of Engineering Mechanics, Tsinghua University, 100084 Beijing, China
– sequence: 2
  givenname: Jungil
  surname: Choi
  fullname: Choi, Jungil
  organization: Simpson Querrey Institute for Bio-Nanotechnology, Northwestern University, Evanston, IL 60208
– sequence: 3
  givenname: Aurélie
  surname: Hourlier-Fargette
  fullname: Hourlier-Fargette, Aurélie
  organization: Simpson Querrey Institute for Bio-Nanotechnology, Northwestern University, Evanston, IL 60208
– sequence: 4
  givenname: Yeguang
  surname: Xue
  fullname: Xue, Yeguang
  organization: Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208
– sequence: 5
  givenname: Ha Uk
  surname: Chung
  fullname: Chung, Ha Uk
  organization: Simpson Querrey Institute for Bio-Nanotechnology, Northwestern University, Evanston, IL 60208
– sequence: 6
  givenname: Jong Yoon
  surname: Lee
  fullname: Lee, Jong Yoon
  organization: Simpson Querrey Institute for Bio-Nanotechnology, Northwestern University, Evanston, IL 60208
– sequence: 7
  givenname: Xiufeng
  surname: Wang
  fullname: Wang, Xiufeng
  organization: School of Materials Science and Engineering, Xiangtan University, 411105 Hunan, China
– sequence: 8
  givenname: Zhaoqian
  surname: Xie
  fullname: Xie, Zhaoqian
  organization: Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208
– sequence: 9
  givenname: Daeshik
  surname: Kang
  fullname: Kang, Daeshik
  organization: Department of Mechanical Engineering, Ajou University, 16499 Suwon-si, Republic of Korea
– sequence: 10
  givenname: Heling
  surname: Wang
  fullname: Wang, Heling
  organization: Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208
– sequence: 11
  givenname: Seungyong
  surname: Han
  fullname: Han, Seungyong
  organization: Department of Mechanical Engineering, Ajou University, 16499 Suwon-si, Republic of Korea
– sequence: 12
  givenname: Seung-Kyun
  surname: Kang
  fullname: Kang, Seung-Kyun
  organization: Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208
– sequence: 13
  givenname: Yisak
  surname: Kang
  fullname: Kang, Yisak
  organization: Department of Electrical and Computer Engineering, University of Illinois at Urbana–Champaign, Urbana, IL 61801
– sequence: 14
  givenname: Xinge
  surname: Yu
  fullname: Yu, Xinge
  organization: Department of Biomedical Engineering, City University of Hong Kong, 999077 Hong Kong, China
– sequence: 15
  givenname: Marvin J.
  surname: Slepian
  fullname: Slepian, Marvin J.
  organization: Department of Medicine and Biomedical Engineering, Sarver Heart Center, University of Arizona, Tucson, AZ 85724
– sequence: 16
  givenname: Milan S.
  surname: Raj
  fullname: Raj, Milan S.
  organization: Center for Flexible Electronics Technology, Tsinghua University, 100084 Beijing, China
– sequence: 17
  givenname: Jeffrey B.
  surname: Model
  fullname: Model, Jeffrey B.
– sequence: 18
  givenname: Xue
  surname: Feng
  fullname: Feng, Xue
  organization: Department of Engineering Mechanics, Tsinghua University, 100084 Beijing, China
– sequence: 19
  givenname: Roozbeh
  surname: Ghaffari
  fullname: Ghaffari, Roozbeh
  organization: Simpson Querrey Institute for Bio-Nanotechnology, Northwestern University, Evanston, IL 60208
– sequence: 20
  givenname: John A.
  surname: Rogers
  fullname: Rogers, John A.
  organization: Simpson Querrey Institute for Bio-Nanotechnology, Northwestern University, Evanston, IL 60208
– sequence: 21
  givenname: Yonggang
  surname: Huang
  fullname: Huang, Yonggang
  organization: Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208
BackLink https://www.ncbi.nlm.nih.gov/pubmed/30322935$$D View this record in MEDLINE/PubMed
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Issue 44
Keywords arterial stiffness
blood pressure
pulse wave velocity
artery hyperelastic model
hemodynamics
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Author contributions: Y.M., Z.X., and J.A.R. designed research; Y.M., J.C., A.H.-F., and Z.X. performed research; Y.M. contributed new reagents/analytic tools; Y.M., J.C., A.H.-F., Y.X., H.U.C., J.Y.L., Z.X., D.K., H.W., S.H., S.-K.K., Y.K., X.Y., M.J.S., M.S.R., J.B.M., X.F., R.G., and Y.H. analyzed data; and Y.M., J.C., X.W., R.G., J.A.R., and Y.H. wrote the paper.
Reviewers: M.J.B., Massachusetts Institute of Technology; and P.S., University of Houston.
1Y.M. and J.C. contributed equally to this work.
Contributed by John A. Rogers, September 10, 2018 (sent for review August 21, 2018; reviewed by Markus J. Buehler and Pradeep Sharma)
ORCID 0000-0002-1968-5092
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Snippet Continuous monitoring of blood pressure, an essential measure of health status, typically requires complex, costly, and invasive techniques that can expose...
Continuous, cuffless, and noninvasive blood pressure monitoring by measuring the pulse wave velocity is generally considered to be a promising technique for...
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SubjectTerms Arteries
Arteries - physiology
Blood Flow Velocity - physiology
Blood pressure
Blood Pressure - physiology
Blood Pressure Determination - methods
Blood vessels
Correlation analysis
Electrocardiography - methods
Empirical equations
Formulas (mathematics)
Heart rate
Humans
Measurement methods
Monitoring methods
Monitoring systems
Monitoring, Physiologic - methods
Physical Sciences
Pulsatile Flow - physiology
Pulse Wave Analysis - methods
Risk factors
Veins & arteries
Velocity
Wave velocity
Title Relation between blood pressure and pulse wave velocity for human arteries
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