Advances in ataxia SCA-2 diagnosis using independent component analysis

Authors:
Rodolfo V. García;Fernando Rojas;Carlos G. Puntonet;Belén San Román;Luís Velázquez;Roberto Rodríguez
Affiliations:
Network Department, University of Holguín. Cuba. Spanish MAEC-AECID fellowship;Department of Computer Architecture and Technology, University of Granada, Spain;Department of Computer Architecture and Technology, University of Granada, Spain;PhD Student. University of Granada, Spain;Centre for the Research and Rehabilitation of Hereditary Ataxias “Carlos J. Finlay”, Holguín, Cuba;Centre for the Research and Rehabilitation of Hereditary Ataxias “Carlos J. Finlay”, Holguín, Cuba
Venue:
NOLISP'09 Proceedings of the 2009 international conference on Advances in Nonlinear Speech Processing
Year:
2009

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Abstract

This work discusses a new approach for ataxia SCA-2 diagnosis based in the application of independent component analysis to the data obtained by electro-oculography in several experiments carried out over healthy and sick subjects. Abnormalities in the oculomotor system are well known clinical symptoms in patients of several neurodegenerative diseases, including modifications in latency, peak velocity, and deviation in saccadic movements, causing changes in the waveform of the patient response. The changes in the morphology waveform suggest a higher degree of statistic independence in sick patients when compared to healthy individuals regarding the patient response to the visual saccadic stimulus modeled by means of digital generated saccade waveforms. The electro-oculogram records of six patients diagnosed with ataxia SCA2 (a neurodegenerative hereditary disease) and six healthy subjects used as control were processed to extract saccades.