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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(4)
Communications in Computer and Information Science(3)
Computing in Cardiology(2)
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS(2)
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao(2)
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Fisiología humana(7)
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Analysis of motor imaginary BCI within multi-environment scenarios using a mixture of classifiers
Conference ObjectAbstract: Brain-computer interface (BCI) is a system that provides communication between human beings and machPalabras claves:Brain-Computer Interface, ENVIRONMENTS, Mixture of classifiers, Signal processingAutores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Marín-Castrillón D.M., Miguel A. Becerra, Moreno-Revelo M.Y., Ortega-Adarme M.Fuentes:scopusAnalytic study on the performance of multi-classification approaches in case-based reasoning systems: Medical data exploration
ArticleAbstract: This paper compares the main combinations of classifiers (Sequential, Parallel and Stacking) over twPalabras claves:Case based reasoning, Classifiers fusion, Dermatology disease, Heart diseaseAutores:Ana C. Umaquinga-Criollo, Bastidas D., Diego Hernán Peluffo-Ordóñez, Miguel A. Becerra, Piñeros C., Sierra-Martínez L.M.Fuentes:googlescopusAdaptive neuro-fuzzy inference system for acoustic analysis of 4-channel phonocardiograms using empirical mode decomposition
Conference ObjectAbstract: The heart's mechanical activity can be appraised by auscultation recordings, taken from the 4-StandaPalabras claves:Autores:Delgadotrejos E., Miguel A. Becerra, Orrego D.A.Fuentes:scopusExploration of characterization and classification techniques for movement identification from EMG signals: Preliminary results
Conference ObjectAbstract: Today, human-computer interfaces are increasingly more often used and become necessary for human daiPalabras claves:classification, EMG signals, Movements selection, WaveletAutores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Laura Daniela Lasso-Arciniegas, Miguel A. Becerra, Salazar-Castro J.A., Viveros-Melo A.Fuentes:scopusExploring the Characterization and Classification of EEG Signals for a Computer-Aided Epilepsy Diagnosis System
Conference ObjectAbstract: Epilepsy occurs when localized electrical activity of neurons suffer from an imbalance. One of the mPalabras claves:Electroencephalogram (EEG), Epilepsy diagnosis, k-nearest neighbors (kNN), Linear discriminant analysis (LDA), Quadratic Discriminant Analysis (QDA), support vector machine (SVM)Autores:Ana C. Umaquinga-Criollo, Andrés M. Vargas-Muñoz, Diego Hernán Peluffo-Ordóñez, Emil Vega-Gualán, Miguel A. Becerra, Riascos-Salas J.A.Fuentes: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:scopusDimensionality reduction based on fuzzy rough sets oriented to ischemia detection
Conference ObjectAbstract: This paper presents a dimensionality reduction study based on fuzzy rough sets with the aim of increPalabras claves:Autores:Delgadotrejos E., Miguel A. Becerra, Orrego D.A.Fuentes:scopusMovement identification in emg signals using machine learning: A comparative study
Conference ObjectAbstract: The analysis of electromyographic (EMG) signals enables the development of important technologies foPalabras claves:ANN, EMG signals, Feature Extraction, Knn, ParzenAutores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Laura Daniela Lasso-Arciniegas, Miguel A. Becerra, Salazar-Castro J.A., Viveros-Melo A.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:scopusHeart murmur detection using ensemble empirical mode decomposition and derivations of the mel-frequency cepstral coefficients on 4-area phonocardiographic signals
Conference ObjectAbstract: This paper presents an automatic detection system for the classification of phonocardiographic (PCG)Palabras claves:Autores:Delgadotrejos E., Jimenez J., Miguel A. BecerraFuentes:scopus