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
Link To Document :
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