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Automatic glissade determination through a mathematical model in electrooculographic records., , , , и . CoRR, (2021)Saccadic Points Classification Using Multilayer Perceptron and Random Forest Classifiers in EOG Recordings of Patients with Ataxia SCA2., , , , , и . IWANN (2), том 7903 из Lecture Notes in Computer Science, стр. 115-123. Springer, (2013)Computer-Aided Diagnosis of Ataxia SCA-2 Using a Blind Source Separation Algorithm., , , , , и . Cogn. Comput., 2 (3): 165-169 (2010)Pulse Component Modification Detection in Spino Cerebellar Ataxia 2 Using ICA., , , , , , и . IWANN (1), том 6691 из Lecture Notes in Computer Science, стр. 323-328. Springer, (2011)Identification of saccadic components in spinocerebellar ataxia applying an independent component analysis algorithm., , , , , , и . Neurocomputing, (2013)Evaluation of electro-oculography data for ataxia SCA-2 classification: A blind source separation approach., , , , , , и . ISDA, стр. 237-241. IEEE, (2010)Evaluation of Fitting Functions for the Saccade Velocity Profile in Electrooculographic Records., , , , , , , и . IWANN (2), том 9095 из Lecture Notes in Computer Science, стр. 592-600. Springer, (2015)Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2., , , , , , , и . ICANN (1), том 5768 из Lecture Notes in Computer Science, стр. 259-266. Springer, (2009)Automatic Glissade Determination Through a Mathematical Model in Electrooculographic Records., , , , и . IWBBIO (1), том 10208 из Lecture Notes in Computer Science, стр. 546-556. (2017)Advances in Ataxia SCA-2 Diagnosis Using Independent Component Analysis., , , , , и . NOLISP, том 5933 из Lecture Notes in Computer Science, стр. 90-94. Springer, (2009)