DocumentCode
3639745
Title
Evaluation of electro-oculography data for ataxia SCA-2 classification: A blind source separation approach
Author
Rodolfo García-Bermúdez;Fernando Rojas Ruiz;Jesús González Peñalver;Olga Valenzuela Cansino;Luis Velázquez Pérez;Cira Torres;Roberto Becerra-García
Author_Institution
Department of Networks, University of Holguí
fYear
2010
Firstpage
237
Lastpage
241
Abstract
Spino Cerebellar Ataxia type 2 is an autosomal dominant cerebellar hereditary ataxia with the highest prevalence in Cuba. Typical symptoms in patients of SCA2 ataxia include modifications in latency, peak velocity, and deviation in visual saccadic movements. After applying some electro-oculography based tests to both healthy and SCA2 afflicted individuals, differences in saccade morphology were found, mainly for 60º of stimulus amplitude. In this work, independent component analysis (ICA) is used to decompose the pulse and step components for the control of saccadic ocular movements, finding significant differences in time and amplitude ratio of both components. The obtained results point out the validity of the proposed methodology in order to study the effects of ataxia SCA2 in the oculomotor system.
Keywords
"Electrooculography","Independent component analysis","Classification algorithms","Nervous system","Visualization","Blind source separation","Algorithm design and analysis"
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on
ISSN
2164-7143
Print_ISBN
978-1-4244-8134-7
Electronic_ISBN
2164-7151
Type
conf
DOI
10.1109/ISDA.2010.5687258
Filename
5687258
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