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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:scopusData mining process for identification of non-spontaneous saccadic movements in clinical electrooculography
ArticleAbstract: In this paper we evaluate the use of the machine learning algorithms Support Vector Machines (SVM),Palabras claves:Classification and regression trees, Clinical electrooculography, K-NEAREST NEIGHBORS, Saccade identification, SUPPORT VECTOR MACHINESAutores:Becerra-García R.A., Cuevas-Beltrán F.R., Fernández-Higuera A., García-Lagos F., Joya-Caparrós G., Rodolfo García−Bermúdez, Rodráguez-Labrada R., Velázquez-Mariño M., Velázquez-Rodríguez C.Fuentes:scopusEvaluation of the differentiation of noisy electrooculographic records using continuous wavelet transform
Conference ObjectAbstract: The differentiation of signals in presence of noise results complicated, due to the amplification efPalabras claves:Electrooculography, saccades, velocity, Wavelet differentiationAutores:Becerra-García R.A., Christian Torres-Morán, David Zambrano-Montenegro, Gabriel Demera, Joya-Caparrós G., Rodolfo García−Bermúdez, Ruiz F.R.Fuentes:scopusDifferentiation of saccadic eye movement signals
ArticleAbstract: Saccadic electrooculograms are discrete biosignals that contain the instantaneous angular position oPalabras claves:Electrooculograms, Numerical differentiation, Saccades biomarkers computing, Saccades identificationAutores:Becerra-García R.A., Joya-Caparrós G., Rodolfo García−BermúdezFuentes: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:scopusHybrid Deep Learning Architecture Approach for Photovoltaic Power Plant Output Pbkp_rediction
Conference ObjectAbstract: Photovoltaic Power is an interesting type of renewable energy, but the intermittency of solar energyPalabras claves:cnn, deep learning, LSTM, pbkp_rediction, PhotovoltaicAutores:Aguado J.A., Joya-Caparrós G., Myriam Cumbajin, Stoean R.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