Automatic fitting of cochlear implants with evolutionary algorithms

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Automatic fitting of cochlear implants with evolutionary algorithms

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Symposium on Applied Computing archive
Proceedings of the 2004 ACM symposium on Applied computing table of contents

Nicosia, Cyprus

SESSION: Computer applications in health care (CAHC) table of contents

Pages: 296 - 300

Year of Publication: 2004

ISBN:1-58113-812-1

Authors

C. Bourgeois-République	Université de Bourgogne, LERSIA - BP 47870, 21078 Dijon cedex, France
J. J. Chabrier	Université de Bourgogne, LERSIA - BP 47870, 21078 Dijon cedex, France
P. Collet	Université du Littoral, LIL - BP 719, 62228 Calais cedex, France

Sponsor

SIGAPP: ACM Special Interest Group on Applied Computing

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 4, Downloads (12 Months): 18, Citation Count: 1

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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).

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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