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Automatic fitting of cochlear implants with evolutionary algorithms

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Published:14 March 2004Publication History

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

  1. P. Collet, E. Lutton, M. Schoenauer, J. Louchet, Take it EASEA, Proceedings of the 6th Conference on Parallel Problem Solving from Nature, PPSN VI, Eds. M. Schoenauer et al., Springer Verlag, LNCS 1917, pp 891--901, September 2000, Paris, URL: http://easea.sourceforge.net/.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Fogel, D.B., Evolutionary Computation: Toward a new Philosophy of Machine Intelligence, IEEE Press, Ed. J.B. Anderson, NY 1995.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. D. E. Goldberg, Genetic Algorithms in Search, Optimisation and Machine Learning, 1989, Addison Wesley.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. R. Litiu and A. Prakash, Developing Adaptive Groupware Applications Using a Mobile Component Framework, proceedings of the ACM 2000 Conference on Computer Supported Cooperative Work, Philadelphia, PA, December 2000.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Loizou, P., Poroy, O., Dorman, M., The effect of parametric variations of cochlear implant processors on speech understanding, Journal of Acoustical Society of America, 108(2), 790--802 2000.]]Google ScholarGoogle ScholarCross RefCross Ref
  6. L. Marzegalli, M. Masa, M. Vitiello, Adaptative RTP/UDP/IP Header Compression over Bluetooth, European Wireless 2002, Florence, Italy, Feb 2002.]]Google ScholarGoogle Scholar
  7. MXM laboratories, URL: http://www.mxmlab.com/.]]Google ScholarGoogle Scholar
  8. S. Sheu, J. Chen, H. Tseng, H. Chiang, A Safe Multiple Access-Rates Transmission Scheme for IEEE 802.11 Wireless Networks, in Proc. 2003 Int. Conf. Advanced Info. Networking Appl., Xian, China, March 2003.]] Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Automatic fitting of cochlear implants with evolutionary algorithms

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          cover image ACM Conferences
          SAC '04: Proceedings of the 2004 ACM symposium on Applied computing
          March 2004
          1733 pages
          ISBN:1581138121
          DOI:10.1145/967900

          Copyright © 2004 ACM

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          New York, NY, United States

          Publication History

          • Published: 14 March 2004

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          Overall Acceptance Rate1,650of6,669submissions,25%

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