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Computational 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: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: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