Analysis of wavelet preprocessed auditory brainstem responses with self-organizing feature maps

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

Abstract

Auditory brainstem responses (ABR), recorded from several subjects with normal hearing, were used to train several self-organizing networks (SON). The resultant self-organizing feature maps (SOFM), using intra-subject data, showed promising results with respect to classification of ABR into low, mid, high and no-response regions. Although initial training with averaged ABR was lengthy, wavelet preprocessing helped to reduce computational time while retaining the same promising results.

Original languageEnglish
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Volume1
ISBN (Print)0780356756
StatePublished - Dec 1 1999
EventProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA
Duration: Oct 13 1999Oct 16 1999

Other

OtherProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
CityAtlanta, GA, USA
Period10/13/9910/16/99

Fingerprint

Self organizing maps
Audition

ASJC Scopus subject areas

  • Bioengineering

Cite this

Lee, R., & Ozdamar, O. (1999). Analysis of wavelet preprocessed auditory brainstem responses with self-organizing feature maps. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 1). Piscataway, NJ, United States: IEEE.

Analysis of wavelet preprocessed auditory brainstem responses with self-organizing feature maps. / Lee, R.; Ozdamar, Ozcan.

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 1 Piscataway, NJ, United States : IEEE, 1999.

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

Lee, R & Ozdamar, O 1999, Analysis of wavelet preprocessed auditory brainstem responses with self-organizing feature maps. in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. vol. 1, IEEE, Piscataway, NJ, United States, Proceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS), Atlanta, GA, USA, 10/13/99.
Lee R, Ozdamar O. Analysis of wavelet preprocessed auditory brainstem responses with self-organizing feature maps. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 1. Piscataway, NJ, United States: IEEE. 1999
Lee, R. ; Ozdamar, Ozcan. / Analysis of wavelet preprocessed auditory brainstem responses with self-organizing feature maps. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 1 Piscataway, NJ, United States : IEEE, 1999.
@inproceedings{80e5c7931c9743bb9c22b9188ae1ed6a,
title = "Analysis of wavelet preprocessed auditory brainstem responses with self-organizing feature maps",
abstract = "Auditory brainstem responses (ABR), recorded from several subjects with normal hearing, were used to train several self-organizing networks (SON). The resultant self-organizing feature maps (SOFM), using intra-subject data, showed promising results with respect to classification of ABR into low, mid, high and no-response regions. Although initial training with averaged ABR was lengthy, wavelet preprocessing helped to reduce computational time while retaining the same promising results.",
author = "R. Lee and Ozcan Ozdamar",
year = "1999",
month = "12",
day = "1",
language = "English",
isbn = "0780356756",
volume = "1",
booktitle = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",
publisher = "IEEE",

}

TY - GEN

T1 - Analysis of wavelet preprocessed auditory brainstem responses with self-organizing feature maps

AU - Lee, R.

AU - Ozdamar, Ozcan

PY - 1999/12/1

Y1 - 1999/12/1

N2 - Auditory brainstem responses (ABR), recorded from several subjects with normal hearing, were used to train several self-organizing networks (SON). The resultant self-organizing feature maps (SOFM), using intra-subject data, showed promising results with respect to classification of ABR into low, mid, high and no-response regions. Although initial training with averaged ABR was lengthy, wavelet preprocessing helped to reduce computational time while retaining the same promising results.

AB - Auditory brainstem responses (ABR), recorded from several subjects with normal hearing, were used to train several self-organizing networks (SON). The resultant self-organizing feature maps (SOFM), using intra-subject data, showed promising results with respect to classification of ABR into low, mid, high and no-response regions. Although initial training with averaged ABR was lengthy, wavelet preprocessing helped to reduce computational time while retaining the same promising results.

UR - http://www.scopus.com/inward/record.url?scp=0033353963&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033353963&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0033353963

SN - 0780356756

VL - 1

BT - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

PB - IEEE

CY - Piscataway, NJ, United States

ER -