Examinando por Autor "Benito, Yolanda"

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    Estimation of Reference Indices of Left Ventricular Chamber Function from Echocardiographic Images with Multidimensional Kernel Methods
    (IEEE, 2012-09-09) Santiago-Mozos, Ricardo; Rojo-Álvarez, José Luis; Antoranz, J Carlos; Rodriguez, Daniel; Desco, Mar; Barrio, Alicia; Benito, Yolanda; Yotti, Raquel; Bermejo, Javier
    Advanced nonlinear estimation methods can compete with their linear counterparts for the estimation of left ventricular (LV) function indices from color-Doppler M-mode images. We benchmarked three methods: Support Vector Regression, Partial Least Squares and Principal Component Regression using linear and non-linear (Gaussian) kernels. Two reference indices were directly estimated from the images, namely, the peak-systolic elastance (Emax) and the time-constant of LV relaxation (Tau). We found linear methods performing slightly better for predicting Emax, an easier task, but they were outperformed by non-linear procedures when predicting Tau, a harder estimation problem.