DocumentCode
319747
Title
Optimal features for pedestal peak validation of ABR signals
Author
Gronfors, Tapio
Author_Institution
Dept. of Comput. Sci. & Appl. Math., Kuopio Univ., Finland
Volume
4
fYear
1996
fDate
31 Oct-3 Nov 1996
Firstpage
1534
Abstract
The pedestal peak method is very robust for Jewett peaks detection of auditory brainstem responses. The preliminary classification is the main task in order to ensure correct detection. The standard deviation of pedestal peak signal and normalized amplitude of the pedestal peak are practical features to classify the pedestal peak
Keywords
FIR filters; auditory evoked potentials; feature extraction; medical signal processing; pattern classification; self-organising feature maps; ABR signals; FIR filtering; Jewett peaks detection; K-mean clustering; auditory brainstem responses; normalized amplitude; optimal features; pedestal peak validation; standard deviation; statistical classification; Computer science; Data mining; Delay; Materials testing; Mathematics; Microcomputers; Pattern recognition; Robustness; Signal generators; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location
Amsterdam
Print_ISBN
0-7803-3811-1
Type
conf
DOI
10.1109/IEMBS.1996.647539
Filename
647539
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