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

Ponencia en Congreso:
Time Domain Estimation of Arterial Parameters using the Windkessel Model and the Monte Carlo Method

dc.contributor.author	Gostuski, Vladimir
dc.contributor.author	Pastore, Ignacio
dc.contributor.author	Rodriguez Palacios, Gaspar
dc.contributor.author	Vaca Diez, Gustavo
dc.contributor.author	Moscoso-Vasquez, Marcela
dc.contributor.author	Risk, Marcelo
dc.date.accessioned	2023-07-07T13:46:23Z
dc.date.available	2023-07-07T13:46:23Z
dc.date.issued	2016
dc.description.abstract	"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."
dc.identifier.citation	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
dc.identifier.uri	https://ri.itba.edu.ar/handle/123456789/4201
dc.language.iso	en
dc.publisher	IOP Publishing Ltd
dc.subject	SISTEMA ARTERIAL
dc.subject	METODO MONTE CARLO
dc.title	Time Domain Estimation of Arterial Parameters using the Windkessel Model and the Monte Carlo Method
dc.type	Ponencia en Congreso
dspace.entity.type	Ponencia en Congreso
itba.description.filiation	Fil: Gostuski, Vladimir. Instituto Tecnologico de Buenos Aires; Argentina.
itba.description.filiation	Fil: Pastore, Ignacio. Instituto Tecnologico de Buenos Aires; Argentina.
itba.description.filiation	Fil: Rodriguez Palacios, Gaspar. Instituto Tecnologico de Buenos Aires; Argentina.
itba.description.filiation	Fil: Vaca Diez, Gustavo. Instituto Tecnologico de Buenos Aires; Argentina.
itba.description.filiation	Fil: Moscoso-Vasquez, Instituto Tecnologico de Buenos Aires; Argentina.
itba.description.filiation	Fil: Moscoso-Vasquez, Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
itba.description.filiation	Fil: Risk, Marcelo. Instituto Tecnologico de Buenos Aires; Argentina.
itba.description.filiation	Fil: Fil: Risk, Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.