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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(5)
2019 IEEE 10th Latin American Symposium on Circuits and Systems, LASCAS 2019 - Proceedings(1)
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao(1)
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Fisiología humana(5)
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Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study
Conference ObjectAbstract: Biometric identification or authentication is a pattern recognition process, which is carried out acPalabras claves:Automatic segmentation, biometric, Electrocardiographic signal, Heart murmur, pattern recognitionAutores:A. E. Castro-Ospina, Camilo Zapata-Hernandez, Carolina M. Duque-Mejía, Cristian Mejía-Arboleda, Delgadotrejos E., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Miguel A. Becerra, Paul D. Rosero-MontalvoFuentes:scopusFeature Extraction Analysis for Emotion Recognition from ICEEMD of Multimodal Physiological Signals
Conference ObjectAbstract: The emotions identification is a very complex task due to depending on multiple variables individualPalabras claves:Emotion recognition, Improved complementary ensemble empirical mode decomposition, Multimodal, physiological signals, Signal processingAutores:A. E. Castro-Ospina, Carolina M. Duque-Mejía, Cristian Mejía-Arboleda, Diego Hernán Peluffo-Ordóñez, Gomez-Lara J.F., Javier E. Revelo-Fuelagán, Miguel A. Becerra, Ordóñez-Bolaños O.A., Rodríguez J.L.Fuentes:scopusElectroencephalographic signals and emotional states for tactile pleasantness classification
Conference ObjectAbstract: Haptic textures are alterations of any surface that are perceived and identified using the sense ofPalabras claves:Electroencephalographic signal, Sensorial stimulus, Signal processing, Tactile pleasantnessAutores:A. E. Castro-Ospina, Cristian Mejía-Arboleda, Diego Hernán Peluffo-Ordóñez, Durango J., Londoño-Delgado E., Miguel A. Becerra, Pelaez-Becerra S.M.Fuentes:scopusNon-generalized Analysis of the Multimodal Signals for Emotion Recognition: Preliminary Results
Conference ObjectAbstract: Emotions are mental states associated with some stimuli, and they have a relevant impact on the peopPalabras claves:Emotion recognition, physiological signals, Signal processingAutores:A. E. Castro-Ospina, Camilo Zapata-Hernandez, Carolina M. Duque-Mejía, Cristian Mejía-Arboleda, Diego Hernán Peluffo-Ordóñez, Londoño-Delgado E., Miguel A. BecerraFuentes:scopusLow Resolution Electroencephalographic-Signals-Driven Semantic Retrieval: Preliminary Results
Conference ObjectAbstract: Nowadays, there exist high interest in the brain-computer interface (BCI) systems, and there are mulPalabras claves:Electroencephalographic signal, Machine learning, Semantic category, Semantic retrieval, Signal processingAutores:Botero-Henao O.I., Cristian Mejía-Arboleda, Diego Hernán Peluffo-Ordóñez, Londoño-Delgado E., Marín-Castrillón D.M., Miguel A. BecerraFuentes:scopusRecognition of emotions using ICEEMD-based characterization of multimodal physiological signals
Conference ObjectAbstract: Physiological-signal-Analysis-based approaches are typically used for automatic emotion identificatiPalabras claves:Autores:Carolina M. Duque-Mejía, Cristian Mejía-Arboleda, Diego Hernán Peluffo-Ordóñez, Gomez-Lara J.F., Medrano-David D., Miguel A. Becerra, Ordóñez-Bolaños O.A.Fuentes:scopusStochastic-and neuro-fuzzy-analysis-based characterization and classification of 4-channel phonocardiograms for cardiac murmur detection
ArticleAbstract: Cardiac murmurs (CMs) are the most common heart’s diseases that are typically diagnosed from phonocaPalabras claves:ANFIS, Cardiac murmur, empirical mode decomposition, Hidden markov models, PhonocardiogramAutores:Ana C. Umaquinga-Criollo, Cristian Mejía-Arboleda, Delgadotrejos E., Diego Hernán Peluffo-Ordóñez, Miguel A. BecerraFuentes:googlescopus