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Heart Rate Turbulence modeling using Boosted Regression Trees
Conference ObjectAbstract: Heart Rate Turbulence (HRT) is a relevant cardiac risk stratification criterion. It is accepted thePalabras claves:Autores:Barquero-Perez O., GarcÍa-Alberola A., Goya-Esteban R., Jose Luis Rojo-ÁlvarezFuentes:scopusHeart rate turbulence denoising using support vector machines
ArticleAbstract: Heart rate turbulence (HRT) is a transient acceleration and subsequent deceleration of the heart ratPalabras claves:bootstrap resampling, Denoising, Heart rate turbulence (HRT), short-term, support vector machine (SVM), Turbulence slope, Varepsilon-Huber costAutores:Barquero-Perez O., Everss-Villalba E., GarcÍa-Alberola A., Jose Luis Rojo-Álvarez, Mora-Jimnez I., Rodríguez-González A.B.Fuentes:scopusElectrocardiographic fragmented activity (II): A machine learning approach to detection
ArticleAbstract: Hypertrophic cardiomyopathy, according to its prevalence, is a comparatively common disease relatedPalabras claves:eCG, Fibrosis detection, Fragmentation detection, Machine learning, Multivariate techniquesAutores:GarcÍa-Alberola A., Gimeno-Blanes F.J., Gimeno-Blanes J.R., Jose Luis Rojo-Álvarez, Martínez-Sánchez J., Melgarejo-Meseguer F.M., Salar-Alcaraz M.E.Fuentes:scopusFeature selection using support vector machines and bootstrap methods for ventricular fibrillation detection
Conference ObjectAbstract: Early detection of ventricular fibrillation (VF) is crucial for the success of the defibrillation thPalabras claves:Arrhythmia classification, Bootstrap, feature selection, SUPPORT VECTOR MACHINES, Ventricular fibrillation detectionAutores:Alonso-Atienza F., Camps-Valls G., GarcÍa-Alberola A., Jose Luis Rojo-Álvarez, Rosado-Muñoz A., Vinagre J.J.Fuentes:scopusComputational efficiency and accuracy for QRS detection algorithms on clinical long term multilead monitoring
Conference ObjectAbstract: A number of relevant clinical measurements are derived from QRS detection. As a consequence, the fasPalabras claves:Autores:Blanco-Velasco M., Flores-Yepes J.A., GarcÍa-Alberola A., Gimeno-Blanes F.J., Jose Luis Rojo-Álvarez, Melgarejo-Meseguer F.M., Siroky J., Villalba E.E.Fuentes:scopusEarly prediction of tilt test outcome, with support vector machine non linear classifier, using ECG, pressure and impedance signals
Conference ObjectAbstract: The tilt test is a valuable clinical tool for the diagnosis of Vasovagal Syncope. No practical systePalabras claves:Autores:Flores-Yepes J.A., GarcÍa-Alberola A., Gimeno-Blanes F.J., Gimeno-Blanes J.R., Jose Luis Rojo-Álvarez, Mocci A., Rodríguez-Martínez A.Fuentes:scopusDetection of life-threatening arrhythmias using feature selection and support vector machines
ArticleAbstract: Early detection of ventricular fibrillation (VF) and rapid ventricular tachycardia (VT) is crucial fPalabras claves:feature selection (FS), support vector machines (SVM), ventricular fibrillation (VF) detectionAutores:Alonso-Atienza F., Fernandez-Martinez L., GarcÍa-Alberola A., Jose Luis Rojo-Álvarez, Morgado E.Fuentes:scopusDifferential Beat Accuracy for ECG Family Classification Using Machine Learning
ArticleAbstract: Holter systems record the electrocardiogram (ECG), which is used to identify beat families accordingPalabras claves:differential beat accuracy, differential confusion matrix, ECG morphology, family beats, Machine learning, MIT-BIH databaseAutores:Caulier-Cisterna R.P., GarcÍa-Alberola A., Goya-Esteban R., Jose Luis Rojo-Álvarez, Vadillo-Valderrama A.Fuentes:scopusA group lasso based method for automatic physiological rhythm analysis
Conference ObjectAbstract: Physiological rhythms arise from nonlinear interactions between biological mechanisms and environmenPalabras claves:Autores:Barquero-Perez O., Figuera-Pozuelo C., GarcÍa-Alberola A., Goya-Esteban R., Jose Luis Rojo-ÁlvarezFuentes:scopusA support vector Laplacian distance Kernel approach to the inverse problem in intracardiac electrophysiology
Conference ObjectAbstract: The accurate estimation of the intracardiac electrical sources from a reduced set of electrodes at sPalabras claves:Dual Signal Model, electrophysiology, Inverse Problem, Laplacian, Mercer Kernel, Support Vector MachineAutores:Caulier-Cisterna R.P., GarcÍa-Alberola A., Jose Luis Rojo-Álvarez, Sanromán-Junquera M.Fuentes:scopus