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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(7)
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Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10(1)
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Cirugía y especialidades médicas afines(1)
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scopus(9)
A hybrid unsupervised-Deep learning tandem for electrooculography time series analysis
ArticleAbstract: Medical data are often tricky to get mined for patterns even by the generally demonstrated successfuPalabras claves:Autores:Atencia M., Becerra-García R.A., García-Lagos F., Joya-Caparrós G., Rodolfo García−Bermúdez, Stoean C., Stoean R., Velazquez-Perez L.Fuentes:scopusAdvances in ataxia SCA-2 diagnosis using independent component analysis
Conference ObjectAbstract: This work discusses a new approach for ataxia SCA-2 diagnosis based in the application of independenPalabras claves:Autores:Puntonet C.G., Rodolfo García−Bermúdez, Rodríguez R., Ruiz F.R., San Román B., Velazquez-Perez L.Fuentes:scopusFeatures Selection for Fall Detection Systems Based on Machine Learning and Accelerometer Signals
Conference ObjectAbstract: Fall among older people is a major medical concern. Fall Detection Systems (FDSs) have been activelyPalabras claves:Accelerometer, Fall detection system, feature selection, Supervised algorithm, Support Vector Machine, WearablesAutores:Carlos A Silva, Casilari E., Rodolfo García−BermúdezFuentes:scopusEvaluation of algorithms for automatic classification of heart sound signals
Conference ObjectAbstract: Auscultation is the primary tool for detection and diagnosis of cardiovascular diseases in hospitalsPalabras claves:classification algorithms, Heart sounds, Phonocardiogram, Preprocessing, Signal processingAutores:Céspedes-Pérez A., Ojeda-Riquenes Y., Pérez-Guzmán R.E., Rodolfo García−Bermúdez, Rojas-Ruiz F.Fuentes:scopusEvaluation of electro-oculography data for ataxia SCA-2 classification: A blind source separation approach
Conference ObjectAbstract: Spino Cerebellar Ataxia type 2 is an autosomal dominant cerebellar hebkp_reditary ataxia with the hiPalabras claves:Ataxia, Blind Source Separation, Computer-aided diagnosis, Electrooculography, Independent component analysisAutores:Becerra-García R.A., Peñalver J.G., Rodolfo García−Bermúdez, Ruiz F.R., Torres C., Valenzuela O., Velazquez-Perez L.Fuentes:scopusNon spontaneous saccadic movements identification in clinical electrooculography using machine learning
Conference ObjectAbstract: In this paper we evaluate the use of the machine learning algorithms Support Vector Machines (SVM),Palabras claves:classification, Clinical electrooculography, Saccade identificationAutores:Becerra-García R.A., Cuevas-Beltrán F.R., Fernández-Higuera A., García-Lagos F., Joya-Caparrós G., Rodolfo García−Bermúdez, Rodríguez-Labrada R., Velázquez-Mariño M., Velázquez-Rodríguez C.Fuentes:scopusIndependent component analysis aided diagnosis of cuban spino cerebellar ataxia 2
Conference ObjectAbstract: Precedent studies have found abnormalities in the oculomotor system in patients with severe SCA2 forPalabras claves:Ataxia, biomedical engineering, Computer Aided Diagnosis, electro-oculography, Independent component analysis, SCA2Autores:Peñalver J.G., Prieto A., Rodolfo García−Bermúdez, Rodríguez R., Ruiz F.R., San Román B., Valenzuela O., Velazquez-Perez L.Fuentes:scopusUnsupervised Learning as a Complement to Convolutional Neural Network Classification in the Analysis of Saccadic Eye Movement in Spino-Cerebellar Ataxia Type 2
Conference ObjectAbstract: This paper aims at assessing spino-cerebellar type 2 ataxia by classifying electrooculography recorPalabras claves:classification, convolutional neural networks, K-Means, Saccadic eye movement, Self-Organizing Maps, unsupervised learningAutores:Atencia M., Becerra-García R.A., García-Lagos F., Joya-Caparrós G., Rodolfo García−Bermúdez, Stoean C., Stoean R., Velazquez-Perez L.Fuentes:scopusSaccadic points classification using multilayer perceptron and random forest classifiers in EOG recordings of patients with ataxia SCA2
Conference ObjectAbstract: In this paper, we compare the performance of two different methods for the task of electrooculogramPalabras claves:ataxia sca2, eog signals, Multilayer Perceptron, random forest, saccadesAutores:Becerra-García R.A., Joya-Caparrós G., Pino C., Rodolfo García−Bermúdez, Rodríguez R., Velazquez-Perez L.Fuentes:scopus