Mostrando 10 resultados de: 19
Filtros aplicados
Publisher
Computing in Cardiology(10)
IEEE Transactions on Biomedical Engineering(2)
Applied Sciences (Switzerland)(1)
Computers in Cardiology(1)
Expert Systems with Applications(1)
Área temáticas
Ciencias de la computación(10)
Enfermedades(5)
Fisiología humana(5)
Medicina y salud(5)
Farmacología y terapéutica(3)
Área de conocimiento
Ciencias de la computación(7)
Algoritmo(6)
Enfermedad cardiovascular(5)
Optimización matemática(3)
Fisiología(1)
Origen
scopus(19)
Combination of ECG parameters with support vector machines for the detection of life-threatening arrhythmias
Conference ObjectAbstract: Early detection of ventricular fibrillation (VF) and fast ventricular tachycardia (VT) is crucial foPalabras claves:Autores:Alonso-Atienza F., Fernandez-Martinez L., GarcÍa-Alberola A., Jose Luis Rojo-Álvarez, Morgado E.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:scopusAutomatic discrimination between supraventricular and ventricular tachycardia using a multilayer perceptron in implantable cardioverter defibrillators
ArticleAbstract: The morphological analysis of implantable cardioverter defibrillator (ICD) stored electrograms (EGM)Palabras claves:Defibrillator, electrogram, neural network, Ventricular tachycardiaAutores:Arenal-Maíz A., Artés-Rodríguez A., GarcÍa-Alberola A., Jose Luis Rojo-Álvarez, Piñeiro-Ave J., Valdés-Chavarri M.Fuentes:scopusBig-data analytics for Arrhythmia Classification using data compression and kernel methods
Conference ObjectAbstract: Big data analytics is broadly used today in multiple research fields to discover and analyze hiddenPalabras claves:Autores:GarcÍa-Alberola A., Jose Luis Rojo-Álvarez, Lillo-Castellano J.M., Montserrat-García-De-Pablo M., Mora-Jimnez I., Moreno-González R.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: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:scopusCardiac Fibrosis Detection Applying Machine Learning Techniques to Standard 12-Lead ECG
Conference ObjectAbstract: Hypertrophic cardiomyopathy (HCM) is a myocardial disorder that affects 0.2% of the population and iPalabras claves:Autores:GarcÍa-Alberola A., Gimeno-Blanes F.J., Gimeno-Blanes J.R., Jose Luis Rojo-Álvarez, 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: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:scopus