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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(4)
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Heart 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: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:scopusExploratory Study of the Effects of Cardiac Murmurs on Electrocardiographic-Signal-Based Biometric Systems
Conference ObjectAbstract: The process of distinguishing among human beings through the inspection of acquired data from physicPalabras claves:Biometric identification, Cardiac murmur, Electrocardiographic signal, Signal processingAutores:Camilo Zapata-Hernandez, Carolina M. Duque-Mejía, Delgadotrejos E., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Miguel A. Becerra, Serna-Guarin L., Xiomara P. Blanco-ValenciaFuentes: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:scopusData fusion applied to biometric identification – A review
Conference ObjectAbstract: There is a growing interest in data fusion oriented to identification and authentication from biometPalabras claves:biometric, data fusion, Multimodal systems, physiological signals, Signal processingAutores:Camilo Zapata-Hernandez, Duque C.M., Gonzalez M.E., Luna J.A.G., Miguel A. Becerra, Rojas-Idarraga Y.K.Fuentes:scopusChloroquine effect on rotor termination under paroxysmal and chronic atrial fibrillation. 2D simulation study
Conference ObjectAbstract: Atrial fibrillation (AF) is the most common prevalent cardiac arrhythmia. If the paroxysmal AF (pAF)Palabras claves:antiarrhythmic drugs, Atrial Fibrillation, Chloroquine, rotor, virtual modelsAutores:Arango S.S., Cardona K., Duarte M., Duque J.E., Miguel A. Becerra, Saiz J., Tobon C.Fuentes:scopusComparative analysis of books as an element of apprehension based on reading
ArticleAbstract: Reading is considered as one of the most important skills a human being must possess, which is usualPalabras claves:Apprehension knowledge, Book object, COMMUNICATION, Language, readingAutores:Miguel A. Becerra, Pelaez-Becerra S.M.Fuentes:scopusComparison between unipolar and bipolar electrograms for detecting rotor tip from 2D fibrillation model using image fusion. A simulation study
Conference ObjectAbstract: The atrial fibrillation (AF) is the most common arrhythmia, which generates the highest costs on cliPalabras claves:Atrial Fibrillation, Electrograms, Image fusion, Rotor TipAutores:Diego Hernán Peluffo-Ordóñez, Duarte-Salazar C.a., Luna J.A.G., Miguel A. Becerra, Orozco-Duque A., Tobon C.Fuentes:scopusAnalysis 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:scopusAblation pattern guided by approximate entropy maps to prevent chronic atrial fibrillation: A simulation study
Conference ObjectAbstract: Atrial fibrillation (AF) is the most prevalent car-diac arrhythmia. Experimental and clinical evidenPalabras claves:ablation, approximate entropy, Chronic atrial fibrillation, virtual modelsAutores:Bustamante J., Cardona E.A., Duque J.E., Miguel A. Becerra, Orozco-Duque A., Palacio L.C., Tobon C., Ugarte J.P.Fuentes:scopus