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.
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García, R.V. et al. (2011). Pulse Component Modification Detection in Spino Cerebellar Ataxia 2 Using ICA. In: Cabestany, J., Rojas, I., Joya, G. (eds) Advances in Computational Intelligence. IWANN 2011. Lecture Notes in Computer Science, vol 6691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21501-8_40
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DOI: https://doi.org/10.1007/978-3-642-21501-8_40
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