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scopus(16)
Classifying cardiac arrhythmic episodes via data compression
ArticleAbstract: The rapid development of the cloud computing technology is favoring the emergence of new platforms oPalabras claves:Automatic classification, Cardiac arrhythmic episode, data compression, Implantable cardioverter defibrillator, Kernel methodAutores:Chavarria-Asso F., GarcÍa-Alberola A., García-García A., Jose Luis Rojo-Álvarez, Lillo-Castellano J.M., Martin-Mendez M., Mora-Jimnez I.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:scopusAn approach to new methods for digital signal processing on optical mapping sequences and electrical mapping
Conference ObjectAbstract: Optical Mapping (OM) sequences represent a very useful tool for registering cardiac bioelectric actiPalabras claves:Autores:Caulier-Cisterna R.P., GarcÍa-Alberola A., Garcia-Quintanilla J., Jose Luis Rojo-Álvarez, Mora-Jimnez I., Moreno-Planas J., Muoz-Romero S., Sanromán-Junquera M., Soguero-Ruiz C.Fuentes:scopusA review on recent patents in digital processing for cardiac electric signals (II): Advanced systems and applications
ArticleAbstract: Digital signal processing algorithms for cardiac recordings have been paid much attention in recentlPalabras claves:Cardiac signal, digital signal processing, electrocardiogram, electrogram, Heart Rate Variability, ischemia, Signal-averaged ECG, T wave alternansAutores:Alonso-Atienza F., Barquero-Perez O., Everss-Villalba E., GarcÍa-Alberola A., Goya-Esteban R., Jose Luis Rojo-Álvarez, Requena-Carrión J.Fuentes: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:scopusCardiac arrhythmia discrimination using evolutionary computation
Conference ObjectAbstract: The use of Implantable Cardioverter Defibrillators (ICD) for cardiac arrhythmia treatment implies aPalabras claves:Autores:GarcÍa-Alberola A., Jose Luis Rojo-Álvarez, Martín-García J.F., Mora-Jimnez I.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:scopusELab: A web-based platform to perform HRV and HRT analysis and store cardiac signals
Conference ObjectAbstract: This study aimed to develop a user-friendly, modular and scalable web-based system, that would allowPalabras claves:Autores:Barquero-Perez O., Bravo R., Cabanas M., De La Rosa M., GarcÍa-Alberola A., Garia-Munoz J., Gonzalez I., Jose Luis Rojo-Álvarez, Quintanilla T., Soguero-Ruiz C., Wilby M.R.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:scopus