DocumentCode
380893
Title
Preliminary processing and detection of characteristic features of Brainstem Auditory Evoked Potentials (BAEP)
Author
Wochlik, Ireneusz ; Bulka, Jaroslaw ; Izworski, Andrzej ; Paslawski, Andrzej
Author_Institution
AGH Univ. of Technol., Krakow, Poland
Volume
2
fYear
2001
fDate
2001
Firstpage
1765
Abstract
The brainstem auditory evoked potentials (BAEP) provide an objective, electrophysiological diagnostic method, widely applied in examinations of auditory organs, in particular for such cases, when the application of traditional audiometric methods is difficult or impossible, e.g. in examination of little children and infants. The shape of the time-dependent signal, and its possible distortion, and particularly the presence or absence of characteristic waves are of great diagnostic importance. In the present work methods of preliminary processing and automated identification of wave V are presented, using the self-organizing map (SOM) type neural networks for determination of the structure of the feature space and classification.
Keywords
auditory evoked potentials; feature extraction; medical signal processing; paediatrics; pattern classification; self-organising feature maps; SOM type neural networks; auditory organs; automated identification; brainstem auditory evoked potentials; characteristic features detection; characteristic waves; classification; diagnostic importance; distortion; electrophysiological diagnostic method; feature space; infants; little children; preliminary processing; self-organizing map; time-dependent signal; wave V; Artificial intelligence; Biological neural networks; Computer vision; Cutoff frequency; Data processing; Finite impulse response filter; Nonlinear filters; Pediatrics; Signal processing; Spline;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-7211-5
Type
conf
DOI
10.1109/IEMBS.2001.1020561
Filename
1020561
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