Detection of peaks from auditory brainstem evoked potentials using wavelet functions

The problem of selecting the best basis function for detecting peaks of the brainstem evoked potentials, is analyzed. No new wavelet function is proposed; instead, the existing basis functions are reviewed and the one with the best correlation coefficient with the points of interest is chosen for ap...

Full description

Saved in:
Bibliographic Details
Published inProceedings of the First Joint BMES/EMBS Conference : serving humanity advancing technology, Oct. 13-16, 99, Atlanta, GA, USA Vol. 2; pp. 965 vol.2 - 965
Main Authors Ochtro, V.M., Gutierrez, A., Hernandez, P.R.
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 1999
Subjects
Audition
Computer languages
Data acquisition
Delay
Digital filters
Frequency domain analysis
Matched filters
Medical diagnosis
Neurophysiology
Signal analysis
Signal filtering and prediction
Surgery
Wavelet analysis
Wavelet transforms
Online AccessGet full text
ISBN0780356748
9780780356740
9780780356757
0780356756
ISSN1094-687X
0589-1019
DOI10.1109/IEMBS.1999.804119

Cover

More Information
Summary:The problem of selecting the best basis function for detecting peaks of the brainstem evoked potentials, is analyzed. No new wavelet function is proposed; instead, the existing basis functions are reviewed and the one with the best correlation coefficient with the points of interest is chosen for application on a digitally implemented filter.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-2
ObjectType-Feature-1
content type line 23
SourceType-Conference Papers & Proceedings-1
ObjectType-Conference-3
ISBN:0780356748
9780780356740
9780780356757
0780356756
ISSN:1094-687X
0589-1019
DOI:10.1109/IEMBS.1999.804119