EEG Based Hearing Threshold Determination Using Artificial Neural Network

A simple method has been proposed to distinguish the normal and abnormal hearing subjects (conductive or sensorineural hearing loss) using acoustically stimulated EEG signals. Auditory Evoked Potential (AEP) signals are unilaterally recorded with monaural acoustical stimulus from the normal and abnormal hearing subjects with conductive or sensorineural hearing loss. The extracted features are applied to machine-learning algorithms to categorize the AEP signal dynamics into their hearing threshold states of the subjects. To classify the normal hearing and abnormal hearing subjects with conductive or sensorineural hearing loss. To detect the hearing loss for all including neonates, infants and multiple handicaps which helps to improve their quality of life.