Mostrando 5 resultados de: 5
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Conference Object(5)
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
2015 IEEE 2nd Colombian Conference on Automatic Control, CCAC 2015 - Conference Proceedings(1)
Computers in Cardiology(1)
Progress in Biomedical Optics and Imaging - Proceedings of SPIE(1)
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Fisiología humana(5)
Enfermedades(3)
Medicina y salud(3)
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Química y ciencias afines(1)
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Aprendizaje automático(3)
Ciencias de la computación(2)
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Enfermedad cardiovascular(1)
Objetivos de Desarrollo Sostenible
ODS 3: Salud y bienestar(5)
ODS 9: Industria, innovación e infraestructura(5)
Origen
scopus(5)
Effectiveness of morphological and spectral heartbeat characterization on arrhythmia clustering for Holter recordings
Conference ObjectAbstract: Heartbeat characterization is an important issue in cardiac assistance diagnosis systems. In particuPalabras claves:clustering methods, Feature Extraction, Signal analysisAutores:Castellanos-Dominguez G., Castro-Hoyos C., Diego Hernán Peluffo-Ordóñez, Rodríguez-Sotelo J.L.Fuentes:scopusGeneralized Bonhoeffer-van der Pol oscillator for modelling cardiac pulse: Preliminary results
Conference ObjectAbstract: This work presents an approach for modelling cardiac pulse from electrocardiographic signals (ECG).Palabras claves:Autores:Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Olivard-Tost G., Ospina-Aguirre C., Rodríguez-Sotelo J.L.Fuentes:scopusSleep stages clustering using time and spectral features of EEG signals an unsupervised approach
Conference ObjectAbstract: Sleep stage classification is a highly addressed issue in polysomnography; It is considered a tediouPalabras claves:Autores:Diego Hernán Peluffo-Ordóñez, Jiménez-Rodríguez A., Jorge Serrano, Osorio-Forero A., Restrepo-De-Mejía F., Rodríguez-Sotelo J.L.Fuentes:scopusNonparametric density-based clustering for cardiac arrhythmia analysis
Conference ObjectAbstract: In this work, a nonsupervised algorithm for feature selection and a non-parametric density-based cluPalabras claves:Autores:Castellanos-Dominguez G., Cuesta-Frau D., Diego Hernán Peluffo-Ordóñez, Rodríguez-Sotelo J.L.Fuentes:scopusSegment clustering for Holter recordings analysis
Conference ObjectAbstract: In this work, an efficient non-supervised algorithm for clustering of ECG signals is presented. ThePalabras claves:Autores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, López-Londoño D., Rodríguez-Sotelo J.L.Fuentes:scopus