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Computational assessment of hemodynamics-based diagnostic tools using a database of virtual subjects: Application to three case studies

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Computational assessment of hemodynamics-based diagnostic tools using a database of virtual subjects: Application to three case studies. / Willemet, Marie; Vennin, Samuel; Alastruey, Jordi.

In: Journal of Biomechanics, 05.11.2016.

Research output: Contribution to journalArticle

Harvard

Willemet, M, Vennin, S & Alastruey, J 2016, 'Computational assessment of hemodynamics-based diagnostic tools using a database of virtual subjects: Application to three case studies', Journal of Biomechanics. https://doi.org/10.1016/j.jbiomech.2016.11.001

APA

Willemet, M., Vennin, S., & Alastruey, J. (2016). Computational assessment of hemodynamics-based diagnostic tools using a database of virtual subjects: Application to three case studies. Journal of Biomechanics. https://doi.org/10.1016/j.jbiomech.2016.11.001

Vancouver

Willemet M, Vennin S, Alastruey J. Computational assessment of hemodynamics-based diagnostic tools using a database of virtual subjects: Application to three case studies. Journal of Biomechanics. 2016 Nov 5. https://doi.org/10.1016/j.jbiomech.2016.11.001

Author

Willemet, Marie ; Vennin, Samuel ; Alastruey, Jordi. / Computational assessment of hemodynamics-based diagnostic tools using a database of virtual subjects: Application to three case studies. In: Journal of Biomechanics. 2016.

Bibtex Download

@article{93f5dea34a224a5983eafe5e4154d683,
title = "Computational assessment of hemodynamics-based diagnostic tools using a database of virtual subjects: Application to three case studies",
abstract = "Many physiological indexes and algorithms based on pulse wave analysis have been suggested in order to better assess cardiovascular function. Because these tools are often computed from in-vivo hemodynamic measurements, their validation is time-consuming, challenging, and biased by measurement errors. Recently, a new methodology has been suggested to assess theoretically these computed tools: a database of virtual subjects generated using numerical 1D-0D modeling of arterial hemodynamics. The generated set of simulations encloses a wide selection of healthy cases that could be encountered in a clinical study. We apply this new methodology to three different case studies that demonstrate the potential of our new tool, and illustrate each of them with a clinically relevant example: (i) we assess the accuracy of indexes estimating pulse wave velocity, (ii) we validate and refine an algorithm that computes central blood pressure, (iii) we investigate theoretical mechanisms behind the augmentation index. Our database of virtual subjects is a new tool to assist the clinician: it provides insight into the physical mechanisms that explains the correlations observed in clinical practice.",
keywords = "Arterial hemodynamics, 1D modelling, Pulse wave velocity, Central pressure, Aortic flow, Augmentation index",
author = "Marie Willemet and Samuel Vennin and Jordi Alastruey",
year = "2016",
month = nov,
day = "5",
doi = "10.1016/j.jbiomech.2016.11.001",
language = "English",
journal = "Journal of Biomechanics",
issn = "0021-9290",
publisher = "Elsevier Limited",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Computational assessment of hemodynamics-based diagnostic tools using a database of virtual subjects: Application to three case studies

AU - Willemet, Marie

AU - Vennin, Samuel

AU - Alastruey, Jordi

PY - 2016/11/5

Y1 - 2016/11/5

N2 - Many physiological indexes and algorithms based on pulse wave analysis have been suggested in order to better assess cardiovascular function. Because these tools are often computed from in-vivo hemodynamic measurements, their validation is time-consuming, challenging, and biased by measurement errors. Recently, a new methodology has been suggested to assess theoretically these computed tools: a database of virtual subjects generated using numerical 1D-0D modeling of arterial hemodynamics. The generated set of simulations encloses a wide selection of healthy cases that could be encountered in a clinical study. We apply this new methodology to three different case studies that demonstrate the potential of our new tool, and illustrate each of them with a clinically relevant example: (i) we assess the accuracy of indexes estimating pulse wave velocity, (ii) we validate and refine an algorithm that computes central blood pressure, (iii) we investigate theoretical mechanisms behind the augmentation index. Our database of virtual subjects is a new tool to assist the clinician: it provides insight into the physical mechanisms that explains the correlations observed in clinical practice.

AB - Many physiological indexes and algorithms based on pulse wave analysis have been suggested in order to better assess cardiovascular function. Because these tools are often computed from in-vivo hemodynamic measurements, their validation is time-consuming, challenging, and biased by measurement errors. Recently, a new methodology has been suggested to assess theoretically these computed tools: a database of virtual subjects generated using numerical 1D-0D modeling of arterial hemodynamics. The generated set of simulations encloses a wide selection of healthy cases that could be encountered in a clinical study. We apply this new methodology to three different case studies that demonstrate the potential of our new tool, and illustrate each of them with a clinically relevant example: (i) we assess the accuracy of indexes estimating pulse wave velocity, (ii) we validate and refine an algorithm that computes central blood pressure, (iii) we investigate theoretical mechanisms behind the augmentation index. Our database of virtual subjects is a new tool to assist the clinician: it provides insight into the physical mechanisms that explains the correlations observed in clinical practice.

KW - Arterial hemodynamics

KW - 1D modelling

KW - Pulse wave velocity

KW - Central pressure

KW - Aortic flow

KW - Augmentation index

U2 - 10.1016/j.jbiomech.2016.11.001

DO - 10.1016/j.jbiomech.2016.11.001

M3 - Article

JO - Journal of Biomechanics

JF - Journal of Biomechanics

SN - 0021-9290

ER -

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