Pulse component modification detection in Spino cerebellar ataxia 2 using ICA

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Abstract

Anomalies in the oculomotor system are well known symptoms in patients with severe Spino Cerebellar Ataxia 2 form of autosomal dominant cerebellar ataxias (ADCA), including the main parameters used to describe saccadic movements. Also a combination of a pulse and step components constitutes an accepted model of the saccadic generation system, In the present work, Independent Component Analysis (ICA) is used to separate both components, revealing a significant difference in the time of the pulse component to reach its maximum value. This result suggests its use in order to obtain a classification tool to diagnose this disease. Five electro-oculographic records of patients of SCA2 ataxia and five control subjects were processed with the ICA based algorithm with this objective. © 2011 Springer-Verlag.

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García, R. V., Rojas, F., González, J., Velázquez, L., Rodríguez, R., Becerra, R., & Valenzuela, O. (2011). Pulse component modification detection in Spino cerebellar ataxia 2 using ICA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6691 LNCS, pp. 323–328). https://doi.org/10.1007/978-3-642-21501-8_40

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