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Cognitive Computation

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01-09-2010

Computer-Aided Diagnosis of Ataxia SCA-2 Using a Blind Source Separation Algorithm

Authors: Rodolfo V. García, Fernando Rojas, Carlos G. Puntonet, Belén San Román, Luis Velázquez, Roberto Rodríguez

Published in: Cognitive Computation | Issue 3/2010

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Abstract

This work discusses a new approach for ataxia SCA-2 diagnosis based on 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 thirteen patients diagnosed with ataxia SCA2 (a neurodegenerative hereditary disease) and thirteen healthy subjects used as control were processed to extract saccades.

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Title: Computer-Aided Diagnosis of Ataxia SCA-2 Using a Blind Source Separation Algorithm
Authors: Rodolfo V. García
Fernando Rojas
Carlos G. Puntonet
Belén San Román
Luis Velázquez
Roberto Rodríguez
Publication date: 01-09-2010
Publisher: Springer-Verlag
Published in: Cognitive Computation / Issue 3/2010
Print ISSN: 1866-9956
Electronic ISSN: 1866-9964
DOI: https://doi.org/10.1007/s12559-010-9049-0

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