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Data 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:scopusIdentification of saccadic components in spinocerebellar ataxia applying an independent component analysis algorithm
ArticleAbstract: Anomalies in the oculomotor system are well known symptoms in different neurodegenerative diseases.Palabras claves:Ataxia, biomedical engineering, Computer Aided Diagnosis, electro-oculography, Independent component analysis, Spino cerebellar ataxia type 2Autores:Becerra-García R.A., Peñalver J.G., Rodolfo García−Bermúdez, Ruiz F.R., San Román B., Valenzuela O., Velazquez-Perez L.Fuentes:scopus