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Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2

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Artificial Neural Networks – ICANN 2009 (ICANN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5768))

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Abstract

Precedent studies have found abnormalities in the oculomotor system in patients with severe SCA2 form of autosomal dominant cerebellar ataxias (ADCA), including the latency, peak velocity, and deviation in saccadic movements, and causing changes in the morphology of the patient response waveform. This different response suggests a higher degree of statistic independence in sick patients when compared to healthy individuals regarding the patient response to the visual saccadic stimulus. We processed electro-oculogram records of six patient diagnosed with severe ataxia SCA2 and six healthy subjects used as control, employing independent component analysis (ICA), significant differences have been found in the statistical independence of the person response with the stimulus for 60° saccadic tests.

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Author information

Authors and Affiliations

  1. Network Department, U. of Holguín, Spanish MAEC-AECID fellowship, Cuba

    Rodolfo V. García

  2. Department of Computer Architecture and Technology, U. of Granada, Spain

    Fernando Rojas, Jesús González & Alberto Prieto

  3. PhD Student, University of Granada, Spain

    Belén San Román

  4. Department of Applied Mathematics, University of Granada, Spain

    Olga Valenzuela

  5. Centre for the Research and Rehabilitation of Hereditary Ataxias “Carlos J. Finlay”, Holguín, Cuba

    Luis Velázquez & Roberto Rodríguez

Authors
  1. Rodolfo V. García
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  2. Fernando Rojas
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  3. Jesús González
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  4. Belén San Román
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  5. Olga Valenzuela
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  6. Alberto Prieto
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  7. Luis Velázquez
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  8. Roberto Rodríguez
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Editor information

Editors and Affiliations

  1. Dipartimento di Elettronica, Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milano, Italy

    Cesare Alippi

  2. Department of Electrical and Computer Engineering, University of Cyprus, 75 Kallipoleos Street, 1678, Nicosia, Cyprus

    Marios Polycarpou , Christos Panayiotou  & Georgios Ellinas ,  & 

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© 2009 Springer-Verlag Berlin Heidelberg

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García, R.V. et al. (2009). Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2. In: Alippi, C., Polycarpou, M., Panayiotou, C., Ellinas, G. (eds) Artificial Neural Networks – ICANN 2009. ICANN 2009. Lecture Notes in Computer Science, vol 5768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04274-4_27

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  • DOI: https://doi.org/10.1007/978-3-642-04274-4_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04273-7

  • Online ISBN: 978-3-642-04274-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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