A sequential detection method for late auditory evoked potentials

Ulrich Hoppe, Ulrich Eysholdt, Stephan Weiss

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

2 Citations (Scopus)
19 Downloads (Pure)

Abstract

This work presents a novel mechanism for detection of late auditory evoked potentials (AEP). AEPs, which are an important diagnostic tool to detect hearing deficiencies, are contained within the electroencephalogram (EEG) at a very low SNR. The authors' proposed automatic detection of AEPs is based on a Wavelet-Transform of EEG data for feature extraction. Several transform coefficients are then used for a classification by a neural network; its decisions on successive EEG segments are judged by a sequential statistical test. This test stops when a certain confidence is reached to either accept or reject an AEP. Besides providing an objective recognition of AEPs, this procedure can considerably reduce measurement time.
Original languageEnglish
Title of host publicationProceedings of the 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine
PublisherIEEE
Number of pages2
ISBN (Print)0-7803-3811-1
DOIs
Publication statusPublished - Nov 1996
Event18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Amsterdam, Netherlands
Duration: 31 Oct 19963 Nov 1996

Conference

Conference18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CountryNetherlands
CityAmsterdam
Period31/10/963/11/96

Keywords

  • auditory evoked potentials
  • electroencephalogram
  • sequential statistical testing
  • time frequency analysis

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