Automatic fitting of cochlear implants with evolutionary algorithms

  • Authors:
  • C. Bourgeois-République;J. J. Chabrier;P. Collet

  • Affiliations:
  • Université de Bourgogne, LERSIA - BP 47870, 21078 Dijon cedex, France;Université de Bourgogne, LERSIA - BP 47870, 21078 Dijon cedex, France;Université du Littoral, LIL - BP 719, 62228 Calais cedex, France

  • Venue:
  • Proceedings of the 2004 ACM symposium on Applied computing
  • Year:
  • 2004

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Abstract

This paper presents an optimisation algorithm designed to perform in-situ automatic fitting of cochlear implants.All patients are different, which means that cochlear parametrisation is a difficult and long task, with results ranging from perfect blind speech recognition to patients who cannot make anything out of their implant and just turn it off.The proposed method combines evolutionary algorithms and medical expertise to achieve autonomous interactive fitting through a Personal Digital Assistant (PDA).