DocumentCode :
1217708
Title :
An Autoregressive Model of the BAEP Signal for Hearng-Threshold Testing
Author :
Shangkai, Gao ; Loew, Murray H.
Issue :
6
fYear :
1986
fDate :
6/1/1986 12:00:00 AM
Firstpage :
560
Lastpage :
565
Abstract :
A new objective method for hearing threshold testing, parametric modeling, is proposed in this paper. The fifth-order autoregressive models are estimated for the averaged BAEP records at a series of stimulus levels. The normalized prediction error enor is chosen as the hearing threshold measure. For normal hearing subjects, the values of enor are very different between the control condition and the click stimulus. For abnormal patients with different hearing loss problems, the estimated hearing thresholds in terms of enor show a good agreement with the physicians´ assessment.
Keywords :
Auditory system; Brain modeling; Deafness; Delay; Electroencephalography; Parametric statistics; Signal processing; Spectral analysis; Stochastic processes; Testing; Biomedical Engineering; Biometry; Brain Stem; Child; Child, Preschool; Evoked Potentials, Auditory; Hearing Disorders; Hearing Tests; Humans; Infant; Models, Neurological;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.1986.325820
Filename :
4122343
Link To Document :
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