Artificial Intelligence in Medicine
Volume 40, Issue 1 , Pages 15-28 , May 2007

AutoNRT™: An automated system that measures ECAP thresholds with the Nucleus® Freedom™ cochlear implant via machine intelligence

  • Andrew Botros

      Affiliations

    • Cochlear Ltd., 14 Mars Road, Lane Cove, NSW 2066, Australia
    • Corresponding Author InformationCorresponding author. Tel.: +61 2 9428 6555; fax: +61 2 9428 6353.
    • ,
  • Bas van Dijk

      Affiliations

    • Cochlear Technology Centre Europe, Schaliënhoevedreef 20 I, 2800 Mechelen, Belgium
    • ,
  • Matthijs Killian

      Affiliations

    • Cochlear Technology Centre Europe, Schaliënhoevedreef 20 I, 2800 Mechelen, Belgium

Received 24 January 2006 ,Revised 11 May 2006 ,Accepted 30 June 2006.

References 

  1. Clark G. Cochlear implants: fundamentals and applications. New York: Springer-Verlag; 2003;
  2. Abbas PJ, Brown CJ, Shallop JK, Firszt JB, Hughes ML, Hong SH, et al. Summary of results using the Nucleus CI24M implant to record the electrically evoked compound action potential. Ear Hear. 1999;20:45–59
  3. Dillier N, Lai WK, Almqvist B, Frohne C, Müller-Deile J, Stecker M, et al. Measurement of the electrically evoked compound action potential (ECAP) via a neural response telemetry (NRT) system. Ann Otol Rhinol Laryngol. 2002;111:407–414
  4. Brown CJ, Abbas PJ, Gantz B. Electrically evoked whole-nerve action potentials: data from human cochlear implant users. J Acoust Soc Am. 1990;88:1385–1391
  5. Daly CN, Nygard TM, Eder H. Method and apparatus for measurement of evoked neural response. US Patent Application Publication No. 20050101878.
  6. Eder HC, Hurley PJ, Money DK, Nygard TM. Method and apparatus for measurement of evoked neural response. International (PCT) Patent Application Publication No. WO/2004/021885.
  7. Lai WK, Dillier N. A simple two-component model of the electrically evoked compound action potential in the human cochlea. Audiol Neurootol. 2000;5:333–345
  8. Brown CJ. The electrically evoked whole nerve action potential. In:  Cullington HE editors. Cochlear implants: objective measures. London: Whurr Publishers; 2003;p. 96–129
  9. Cafarelli Dees D, Dillier N, Lai WK, von Wallenberg E, van Dijk B, et al. Normative findings of electrically evoked compound action potential measurements using the neural response telemetry of the Nucleus CI24M cochlear implant system. Audiol Neurootol. 2005;10:105–116
  10. Brown CJ, Hughes ML, Luk B, Abbas PJ, Wolaver A, Gervais J. The relationship between EAP and EABR thresholds and levels used to program the Nucleus 24 speech processor: data from adults. Ear Hear. 2000;21:151–163
  11. Hughes ML, Brown CJ, Abbas PJ, Wolaver AA, Gervais JP. Comparison of EAP thresholds to MAP levels in the Nucleus CI24M cochlear implant: data from children. Ear Hear. 2000;21:164–174
  12. Franck KH. A model of a Nucleus 24 cochlear implant fitting protocol based on the electrically evoked whole nerve action potential. Ear Hear. 2002;23:67S–71S
  13. Smoorenburg GF, Willeboer C, van Dijk JE. Speech perception in Nucleus CI24M cochlear implant users with processor settings based on electrically evoked compound action potential thresholds. Audiol Neurootol. 2002;7:335–347
  14. Thai-Van H, Truy E, Charasse B, Boutitie F, Chanal J-M, Cochard N, et al. Modeling the relationship between psychophysical perception and electrically evoked compound action potential threshold in young cochlear implant recipients: clinical implications for implant fitting. Clin Neurophysiol. 2004;115:2811–2824
  15. Charasse B, Thai-Van H, Chanal JM, Berger-Vachon C, Collet L. Automatic analysis of auditory nerve electrically evoked compound action potential with an artificial neural network. Artif Intell Med. 2004;31:221–229
  16. van Dijk B, Krey C, Verhulst L, Marichal C, Charasse B, Collet L. Development of a prototype fully-automated intra-operative ECAP recording tool, using NRT™ V3. In:  Shepherd RK,  Svirsky MA editor. Abstracts of the 2003 Conference on Implantable Auditory Prostheses. Pacific Grove, USA. Los Angeles: House Ear Institute. 2003;p. 178
  17. Litvak L, Emadi G. Automatic estimate of threshold from neural response imaging (NRI). In:  Zeng F-G,  Snyder R editor. Abstracts of the 2005 conference on implantable auditory prostheses. Pacific Grove, USA. Los Angeles: House Ear Institute. 2005;p. 211
  18. Charasse B, Killian M, Berger-Vachon C, Collet L. Comparison of two different methods to automatically classify auditory nerve responses recorded with NRT system. Acta Acust United Acust. 2004;90:512–519
  19. Nicolai J, Charasse B, Collet L, van Dijk B. Performance of automatic recognition algorithms in Nucleus neural response telemetry. In:  Shepherd RK,  Svirsky MA editor. Abstracts of the 2003 Conference on Implantable Auditory Prostheses. Pacific Grove, USA. Los Angeles: House Ear Institute. 2003;p. 179
  20. Quinlan JR. C4.5: programs for machine learning. San Mateo: Morgan Kaufmann; 1993;
  21. Quinlan JR. C5.0: an informal tutorial. Rulequest Research; http://www.rulequest.com/see5-unix.html (accessed 1 May 2006).
  22. van Dijk B, Ambrosch P, Battmer R-D, Begall K, Botros A, Dillier N, et al. AutoNRT™: first clinical results of a completely automatic ECAP recording system. In:  Zeng F-G,  Snyder R editor. Abstracts of the 2005 conference on implantable auditory prostheses. Pacific Grove, USA. Los Angeles: House Ear Institute. 2005;p. 229
  23. Vannier E, Adam O, Motsch J-F. Objective detection of brainstem auditory evoked potentials with a priori information from higher presentation levels. Artif Intell Med. 2002;25:283–301

PII: S0933-3657(06)00099-6

doi: 10.1016/j.artmed.2006.06.003

Artificial Intelligence in Medicine
Volume 40, Issue 1 , Pages 15-28 , May 2007

Article Tools

* Image Usage & Resolution