DocumentCode :
3549380
Title :
Classification of the auditory brainstem response (ABR) using wavelet analysis and Bayesian network
Author :
Zhang, Rui ; McAllister, Gerry ; Scotney, Bryan ; Mcclean, Sally ; Houston, Glen
Author_Institution :
Fac. of Eng., Ulster Univ., Northern Ireland, UK
fYear :
2005
fDate :
23-24 June 2005
Firstpage :
485
Lastpage :
490
Abstract :
The auditory brainstem response (ABR) has become a routine clinical tool for hearing and neurological assessment. In order to pick out the ABR from the background EEG activity that obscures it, stimulus-synchronized averaging of many repeated trials is necessary and it typically requires up to 2000 repetitions. This number of repetitions can be very difficult, time consuming and uncomfortable for some subjects. In this study a method combining the wavelet analysis and the Bayesian network is introduced to reduce the required number of repetitions, which could offer a great advantage in the clinical situation. The important features of the ABR are extracted by thresholding and matching the wavelet coefficients. These extracted features are then used as the variables to build up the Bayesian network for classifying the ABR. 172 ABRs with 64 repetitions are applied in this study to learn the Bayesian network and estimate the conditional probability tables (CPTs). A further 142 ABRs with 64 repetitions are used to test the network. Moreover, this Bayesian network can also be applied to classify the ABRs with 128 repetitions.
Keywords :
auditory evoked potentials; belief networks; electroencephalography; medical signal processing; neurophysiology; signal classification; wavelet transforms; Bayesian network; EEG; auditory brainstem response classification; conditional probability table; hearing; neurological assessment; stimulus-synchronized averaging; wavelet analysis; Auditory system; Bayesian methods; Discrete wavelet transforms; Electroencephalography; Feature extraction; Hospitals; Signal analysis; Testing; Wavelet analysis; Wavelet coefficients;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems, 2005. Proceedings. 18th IEEE Symposium on
ISSN :
1063-7125
Print_ISBN :
0-7695-2355-2
Type :
conf
DOI :
10.1109/CBMS.2005.41
Filename :
1467738
Link To Document :
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