Abstract
An auditory loss is one of the most common disabilities present in newborns and infants in India. A conventional hearing screening test’s applicability is limited as it requires a feedback response from the subject under test. To overcome such problems, the primary focus of this study is to develop an auditory loss assessment system using auditory evoked potential signals (AEP). The AEP responses of fourteen normal hearing subjects to auditory stimuli (20 dB, 30 dB, 40 dB, 50 dB and 60 dB) were derived from electroencephalogram (EEG) recordings. Box counting fractal method is applied to extract the fractal features from the recorded AEP signals. Feed forward and feedback neural networks are employed to distinguish the different hearing perception levels. The performance of the proposed auditory loss assessment system found to exceed 80% accuracy. This study indicates that AEP responses to the auditory stimuli to the normal hearing persons can clearly distinguish the higher order auditory stimuli followed by the lower order auditory stimuli and it can be used to estimate the level of hearing loss in the patient.
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