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Interactive evolution for cochlear implants fitting

hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierArtificial Evolution and Fractals [COMPLEX]
dc.contributor.authorLEGRAND, Pierrick
hal.structure.identifierLaboratoire Electronique, Informatique et Image [UMR6306] [Le2i]
dc.contributor.authorBOURGEOIS-REPUBLIQUE, Claire
hal.structure.identifierCentre de Ressources Technologiques
dc.contributor.authorPEAN, Vincent
hal.structure.identifierService ORL [Avicenne]
dc.contributor.authorHARBOUN-COHEN, Esther
hal.structure.identifierArtificial Evolution and Fractals [COMPLEX]
dc.contributor.authorLÉVY VÉHEL, Jacques
hal.structure.identifierService ORL [Avicenne]
dc.contributor.authorFRACHET, Bruno
hal.structure.identifierArtificial Evolution and Fractals [COMPLEX]
dc.contributor.authorLUTTON, Evelyne
hal.structure.identifierCentre de Mathématiques Appliquées - Ecole Polytechnique [CMAP]
hal.structure.identifierCentre de Physique Théorique [Palaiseau] [CPHT]
hal.structure.identifierLaboratoire d'Informatique du Littoral [LIL]
dc.contributor.authorCOLLET, Pierre
dc.date.accessioned2024-04-04T02:49:27Z
dc.date.available2024-04-04T02:49:27Z
dc.date.issued2007
dc.identifier.issn1389-2576
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/191825
dc.description.abstractEnCochlear implants are devices that become more and more sophisticated and adapted to the need of patients, but at the same time they become more and more difficult to parameterize. After a deaf patient has been surgically implanted, a specialised medical practitioner has to spend hours during months to precisely fit the implant to the patient. This process is a complex one implying two intertwined tasks: the practitioner has to tune the parameters of the device (optimisation) while the patient's brain needs to adapt to the new data he receives (learning). This paper presents a study that intends to make the implant more adaptable to environment (auditive ecology) and to simplify the process of fitting. Real experiments on volunteer implanted patients are presented, that show the efficiency of interactive evolution for this purpose. This work has partially been funded by the French ANR - RNTS HEVEA project 04T550.
dc.language.isoen
dc.publisherSpringer Verlag
dc.title.enInteractive evolution for cochlear implants fitting
dc.typeArticle de revue
dc.subject.halInformatique [cs]/Intelligence artificielle [cs.AI]
dc.subject.halInformatique [cs]/Interface homme-machine [cs.HC]
dc.subject.halSciences du Vivant [q-bio]/Ingénierie biomédicale
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
dc.subject.halInformatique [cs]/Traitement du signal et de l'image
bordeaux.journalGenetic Programming and Evolvable Machines
bordeaux.page319-354
bordeaux.volume8
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue4
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-00294838
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00294838v1
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