This talks shows preliminary results for the estimation of some parameters regarding the cardiovascular system (e.g., vessel mechanical properties, vasculature resistance) using real patient data. The mathematical model is based on efficient one-dimensional network for the blood flow simulation and on the unscented Kalman filtering for the parameter estimation
Lumped parameter models of the cardiovascular system have the potential to assist researchers and cl...
Purpose of this paper was to obtain a low-order identification-oriented model of the systemic vascul...
Medical technology has seen impressive success in the past decades, generating novel clinical data a...
International audienceA major challenge in constructing three dimensional patient specific hemodynam...
This work presents a detailed investigation of a parameter estimation approach on the basis of the r...
This work presents a detailed investigation of a parameter estimation approach on the basis of the r...
Objective: The aim of this paper is to assess the potential of the reduced-order unscented Kalman's ...
Detailed models of dynamical systems used in the life sciences may include hundreds of state variabl...
There are a number of disorders that originate from or involve faulty operation of the cardiovascula...
Objective: The aim of this work is to assess the potential of the reduced order unscented Kalman fil...
International audienceIn this paper, we present a parameter estimation procedure for a 3D Navier-Sto...
Cardiovascular health is currently assessed by a collection of hemodynamic parameters many of which ...
Cardiovascular disease is one of the major problems in today’s medicine and the number of patients i...
The purpose of this work is to develop a mathematical model of Human Cardiovascular System using lum...
International audienceA method to estimate the hemodynamics parameters of a network of vessels using...
Lumped parameter models of the cardiovascular system have the potential to assist researchers and cl...
Purpose of this paper was to obtain a low-order identification-oriented model of the systemic vascul...
Medical technology has seen impressive success in the past decades, generating novel clinical data a...
International audienceA major challenge in constructing three dimensional patient specific hemodynam...
This work presents a detailed investigation of a parameter estimation approach on the basis of the r...
This work presents a detailed investigation of a parameter estimation approach on the basis of the r...
Objective: The aim of this paper is to assess the potential of the reduced-order unscented Kalman's ...
Detailed models of dynamical systems used in the life sciences may include hundreds of state variabl...
There are a number of disorders that originate from or involve faulty operation of the cardiovascula...
Objective: The aim of this work is to assess the potential of the reduced order unscented Kalman fil...
International audienceIn this paper, we present a parameter estimation procedure for a 3D Navier-Sto...
Cardiovascular health is currently assessed by a collection of hemodynamic parameters many of which ...
Cardiovascular disease is one of the major problems in today’s medicine and the number of patients i...
The purpose of this work is to develop a mathematical model of Human Cardiovascular System using lum...
International audienceA method to estimate the hemodynamics parameters of a network of vessels using...
Lumped parameter models of the cardiovascular system have the potential to assist researchers and cl...
Purpose of this paper was to obtain a low-order identification-oriented model of the systemic vascul...
Medical technology has seen impressive success in the past decades, generating novel clinical data a...