• 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