title: Hearing-aid pre-selection through a neural network.
abstract: Selection of optimal hearing aids for a patient with a particular audiogram has become increasingly difficult as the number of available models on the market has grown considerably. In order to assist the hearing-aid fitter in this work, recent programming techniques using artificial neural networks have been investigated. Artificial neural networks are capable of recognizing audiograms and relating them to suitable hearing aids. A programme to assist in the early stage of hearing-aid selection was developed using these techniques.
authors.affiliation: Buskerud College, Faculty of Engineering, Department of Computer Science, Kongsberg, Norway.
authors.forename: O
authors.initials: O
authors.lastname: Arntsen
authors.forename: H
authors.initials: H
authors.lastname: Koren
authors.forename: T
authors.initials: T
authors.lastname: Strøm
mesh_terms: D001299:Audiometry; D012048:Correction of Hearing Impairment; D003951:Diagnostic Errors; D004867:Equipment Design; D006310:Hearing Aids; D006311:Hearing Disorders / Q000175:diagnosis; D006801:Humans; D007256:Information Systems; D009415:Nerve Net; D009664:Norway