Time Domain Estimation of Arterial Parameters using the Windkessel Model and the Monte Carlo Method

"Numerous parameter estimation techniques exist for characterizing the arterial system using electrical circuit analogs. However, they are often limited by their requirements and usually high computational burdain. Therefore, a new method for estimating arterial parameters based on Monte Carlo...

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Autores principales: Gostuski, Vladimir, Pastore, Ignacio, Rodriguez Palacios, Gaspar, Vaca Diez, Gustavo, Moscoso-Vasquez, Marcela, Risk, Marcelo
Formato: Ponencia en Congreso
Lenguaje:Inglés
Publicado: IOP Publishing Ltd 2023
Materias:
SISTEMA ARTERIAL
METODO MONTE CARLO
Acceso en línea:https://ri.itba.edu.ar/handle/123456789/4201
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-123456789-4201
record_format dspace
spelling I32-R138-123456789-42012023-07-09T03:00:46Z Time Domain Estimation of Arterial Parameters using the Windkessel Model and the Monte Carlo Method Gostuski, Vladimir Pastore, Ignacio Rodriguez Palacios, Gaspar Vaca Diez, Gustavo Moscoso-Vasquez, Marcela Risk, Marcelo SISTEMA ARTERIAL METODO MONTE CARLO "Numerous parameter estimation techniques exist for characterizing the arterial system using electrical circuit analogs. However, they are often limited by their requirements and usually high computational burdain. Therefore, a new method for estimating arterial parameters based on Monte Carlo simulation is proposed. A three element Windkessel model was used to represent the arterial system. The approach was to reduce the error between the calculated and physiological aortic pressure by randomly generating arterial parameter values, while keeping constant the arterial resistance. This last value was obtained for each subject using the arterial flow, and was a necessary consideration in order to obtain a unique set of values for the arterial compliance and peripheral resistance. The estimation technique was applied to in vivo data containing steady beats in mongrel dogs, and it reliably estimated Windkessel arterial parameters. Further, this method appears to be computationally efficient for on-line time-domain estimation of these parameters." 2023-07-07T13:46:23Z 2023-07-07T13:46:23Z 2016 Ponencia en Congreso Gostuski, V. et al (2016) Time Domain Estimation of Arterial Parameters using the Windkessel Model and the Monte Carlo Method. J. Phys.: Conf. Ser. 705 012028 https://ri.itba.edu.ar/handle/123456789/4201 en application/pdf IOP Publishing Ltd
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic SISTEMA ARTERIAL
METODO MONTE CARLO
spellingShingle SISTEMA ARTERIAL
METODO MONTE CARLO
Gostuski, Vladimir
Pastore, Ignacio
Rodriguez Palacios, Gaspar
Vaca Diez, Gustavo
Moscoso-Vasquez, Marcela
Risk, Marcelo
Time Domain Estimation of Arterial Parameters using the Windkessel Model and the Monte Carlo Method
topic_facet SISTEMA ARTERIAL
METODO MONTE CARLO
description "Numerous parameter estimation techniques exist for characterizing the arterial system using electrical circuit analogs. However, they are often limited by their requirements and usually high computational burdain. Therefore, a new method for estimating arterial parameters based on Monte Carlo simulation is proposed. A three element Windkessel model was used to represent the arterial system. The approach was to reduce the error between the calculated and physiological aortic pressure by randomly generating arterial parameter values, while keeping constant the arterial resistance. This last value was obtained for each subject using the arterial flow, and was a necessary consideration in order to obtain a unique set of values for the arterial compliance and peripheral resistance. The estimation technique was applied to in vivo data containing steady beats in mongrel dogs, and it reliably estimated Windkessel arterial parameters. Further, this method appears to be computationally efficient for on-line time-domain estimation of these parameters."
format Ponencia en Congreso
author Gostuski, Vladimir
Pastore, Ignacio
Rodriguez Palacios, Gaspar
Vaca Diez, Gustavo
Moscoso-Vasquez, Marcela
Risk, Marcelo
author_facet Gostuski, Vladimir
Pastore, Ignacio
Rodriguez Palacios, Gaspar
Vaca Diez, Gustavo
Moscoso-Vasquez, Marcela
Risk, Marcelo
author_sort Gostuski, Vladimir
title Time Domain Estimation of Arterial Parameters using the Windkessel Model and the Monte Carlo Method
title_short Time Domain Estimation of Arterial Parameters using the Windkessel Model and the Monte Carlo Method
title_full Time Domain Estimation of Arterial Parameters using the Windkessel Model and the Monte Carlo Method
title_fullStr Time Domain Estimation of Arterial Parameters using the Windkessel Model and the Monte Carlo Method
title_full_unstemmed Time Domain Estimation of Arterial Parameters using the Windkessel Model and the Monte Carlo Method
title_sort time domain estimation of arterial parameters using the windkessel model and the monte carlo method
publisher IOP Publishing Ltd
publishDate 2023
url https://ri.itba.edu.ar/handle/123456789/4201
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