On-line auditory brainstem response signal-to-noise ratio estimation for response detection

Rafael E. Delgado, Ozcan Ozdamar, Rebecca E. Eilers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Auditory Brainstem Responses (ABRs) are one of the techniques of choice for hearing screening in newborns. Universal ABR testing, however, has not become widespread due to the cost involved. The objective of this study was to develop an efficient on-line ABR screening system. A signal-to-noise ratio (SNR) estimation formula was used to detect threshold responses and thus avoid unnecessary sweep acquisition. A windowed cross correlation between consecutive recordings was used to validate the presence of a response. The system required fewer sweeps at higher intensities to determine the presence of a response than standard ABR. Testing with the automated system was accurate and time efficient.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
EditorsAndrew Y.J. Szeto, Rangaraj M. Rangayyan
PublisherPubl by IEEE
Number of pages1
Editionpt 3
ISBN (Print)0780313771
StatePublished - Dec 1 1993
Externally publishedYes
EventProceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 3 (of 3) - San Diego, CA, USA
Duration: Oct 28 1993Oct 31 1993

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 3
Volume15
ISSN (Print)0589-1019

Other

OtherProceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 3 (of 3)
CitySan Diego, CA, USA
Period10/28/9310/31/93

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ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Delgado, R. E., Ozdamar, O., & Eilers, R. E. (1993). On-line auditory brainstem response signal-to-noise ratio estimation for response detection. In A. Y. J. Szeto, & R. M. Rangayyan (Eds.), Proceedings of the Annual Conference on Engineering in Medicine and Biology (pt 3 ed.). (Proceedings of the Annual Conference on Engineering in Medicine and Biology; Vol. 15, No. pt 3). Publ by IEEE.