EEG based estimation of hearing frequency perception by artificial neural networks

Auditory evoked potentials are a type of EEG signal emanated from the scalp of the brain by an acoustical stimulus. In this paper, auditory evoked potential (AEP) signals emanated while hearing the click-sound stimuli excited at three different frequencies were recorded. Spatio-temporal features of four distinct bands were extracted from the recorded AEP signal. The extracted features were then associated to the hearing frequency perception response of an individual and neural network models for left and right ears were developed. The maximum classification accuracy of the developed neural network model in discriminating the hearing frequency perception response of a person has been observed as 94.5 per cent.