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On automatic diagnosis of pathological saccadic eye movements
1Department of Computer Science, University of Turku, Finland.
International Journal of Bio-Medical Computing
|May 1, 1988
Abstract:
A syntactic technique is described for the recognition of saccadic eye movements to distinguish normal saccades from those distorted by brain stem lesions. A digitalized eye movement signal is transformed into a sequence of symbols. Eye movements are then found from this sequence by using a parser. This recognition method appropriately enlarged could be applied as a classifier of saccades to aid in diagnosis.