Examinando por Autor "Cortina, Cristina"

Mostrando 1 - 6 de 6

A Noninvasive Method for Assessing Impaired Diastolic Suction in Patients With Dilated Cardiomyopathy
(2009-07-14T11:31:16Z) Yotti, R; Bermejo, Javier; Antoranz, José Carlos; Desco, Mar; Cortina, Cristina; Rojo-Álvarez, José Luis; Allué, Carmen; Martín, Laura; Moreno, Mar; Serrano, JA; Muñoz, Roberto; García Fernández, MA
Caracterización no invasiva de la contractilidad miocárdica mediante el análisis de los gradientes de presión intraventricular derivados de imágenes de Doppler-color
(2009-07-28T10:11:23Z) Yotti, R; Bermejo, Javier; Desco, Mar; Cortina, Cristina; Antoranz, José Carlos; Rojo-Álvarez, José Luis; Moreno, Mar; García Fernández, MA
Dependencia de la precarga y postcarga de los gradientes de presión intraventricular sistólicos medidos mediante ecocardiografía Doppler
(2009-07-28T10:20:30Z) Yotti, R; Bermejo, Javier; Desco, Mar; Antoranz, José Carlos; Rojo-Álvarez, José Luis; Cortina, Cristina; Rodríguez Abella, Hugo; García Fernández, MA
Doppler-Derived Ejection Intraventricular Pressure Gradients Provide a Reliable Assessment of Left Ventricular Systolic Chamber Function
(2009-07-23T10:19:06Z) Yotti, R; Bermejo, Javier; Desco, Mar; Antoranz, José Carlos; Rojo-Álvarez, José Luis; Cortina, Cristina; Allué, Carmen; Rodríguez Abella, Hugo; Moreno, Mar; García Fernández, Miguel Ángel
Noninvasive Assessment of the Right Ventricular Filling Pressure Gradient
(2009-07-23T10:33:36Z) Cortina, Cristina; Bermejo, Javier; Yotti, R; Desco, Mar; Rodríguez Pérez, Daniel; Antoranz, José Carlos; Rojo-Álvarez, José Luis; García, Damien; García Fernández, Miguel Ángel; Fernández Avilés, F.
Support Vector Analysis of Color-Doppler Images: A New Approach for Estimating Indices on Left Ventricular Function
(2006-08-01) Rojo-Álvarez, José Luis; Bermejo, Javier; Juárez Caballero, Víctor Manuel; Yotti, Raquel; Cortina, Cristina; García Fernández, Miguel Ángel; Antoranz, José Carlos
Reliable noninvasive estimators of global left ventricular (LV) chamber function remain unavailable. We have previously demonstrated a potential relationship between color-Doppler M-mode (CDMM) images and two basic indices of LV function: peak-systolic elastance (Emax) and the time-constant of LV relaxation (tau). Thus, we hypothesized that these two indices could be estimated noninvasively by adequate postprocessing of CDMM recordings. A semiparametric regression (SR) version of support vector machine (SVM) is here proposed for building a blind model, capable of analyzing CDMM images automatically, as well as complementary clinical information. Simultaneous invasive and Doppler tracings were obtained in nine mini-pigs in a high-fidelity experimental setup. The model was developed using a test and validation leave-one-out design. Reasonably acceptable prediction accuracy was obtained for both Emax (intraclass correlation coefficient 0.81) and ( 0. 61). For the first time, a quantitative, noninvasive estimation of cardiovascular indices is addressed by processing Doppler-echocardiography recordings using a learning-from-samples method.