NDLI: Evaluation of electro-oculography data for ataxia SCA-2 classification: A blind source separation approach

Content Provider	IEEE Xplore Digital Library
Author	García-Bermúdez, R. Pérez, L.V. Torres, C. Ruiz, F.R. Penalver, J.G. Cansino, O.V. Becerra-Garcia, R.
Copyright Year	2010
Description	Author affiliation: Computer Science Faculty, University of Holguín “Oscar Lucero Moya”, Holguín, Cuba (Becerra-Garcia, R.) \|\| Computer Architecture and Technology Department, University of Granada, Spain (Pérez, L.V.; Torres, C.; Ruiz, F.R.) \|\| Center for the Research and Rehabilitation of Hereditary, Ataxias, Holguín, Cuba (Penalver, J.G.; Cansino, O.V.) \|\| Department of Networks, University of Holguín “Oscar Lucero Moya”, Holguín, Cuba, Spanish MAEC-AECID fellowship, Granada, Spain (García-Bermúdez, R.)
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.
Starting Page	237
Ending Page	241
File Size	199794
Page Count	5
File Format	PDF
ISBN	9781424481347
e-ISBN	9781424481361
DOI	10.1109/ISDA.2010.5687258
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-29
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Electrooculography Visualization independent component analysis ataxia Independent component analysis Nervous system Blind source separation Classification algorithms computer-aided diagnosis electrooculography blind source separation
Content Type	Text
Resource Type	Article

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