title: On neural network classification of otoneurological cases on the basis of recognition results of vestibulo-ocular reflex eye movements signal.
abstract: We constructed a signal analysis and recognition system to compute revealing results from vestibulo-ocular reflex eye movements and their stimulation head movements of impulsive type that were generated as passive head movements with a special device designed by us for this purpose. Further, we implemented perceptron neural networks to separate healthy subjects from patients suffering from dysfunction of vestibulo-ocular reflex in either ear. We gained high classification accuracies with this method ready for routine use.
authors.affiliation: Department of Computer Sciences., University of Tampere, Finland. Martti.Juhola@cs.uta.fi
authors.forename: Martti
authors.initials: M
authors.lastname: Juhola
authors.forename: Heikki
authors.initials: H
authors.lastname: Aalto
authors.forename: Timo
authors.initials: T
authors.lastname: Hirvonen
mesh_terms: D007758:Ear, Inner / Q000503:physiopathology*; D005133:Eye Movements; D005387:Finland; D006801:Humans; D009415:Nerve Net; D010364:Pattern Recognition, Visual; D012027:Reflex, Vestibulo-Ocular