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Selection of wavelet decomposition level for electro-oculographic saccadic de-noising

Abstract:

Ataxia SCA2 is a neurological disorder among a group of inherited diseases of the central nervous system. In SCA2, genetic defects lead to impairment of specific nerve fibers, resulting in degeneration of the cerebellum and its afferent connections. As anomalies in the oculomotor system are well known symptoms in SCA2, electro-oculographic records become a useful technique for SCA2 diagnosis. This work presents a novel technique for determining how many decomposition levels are necessary to perform signal de-noising, based on the evaluation of the shape correspondence between the wavelet approximation coefficients and the EOG record, focusing in noise cancellation in order to obtain a clean velocity profile. Experimental results show the validity of the approach. © 2013 Springer-Verlag Berlin Heidelberg.