Diagnosis of hearing deficiency using EEG based AEP signals: CWT and improved-VGG16 pipeline.

ABSTRACT: Hearing deficiency is the world's most common sensation of impairment and impedes human communication and learning. Early and precise hearing diagnosis using electroencephalogram (EEG) is referred to as the optimum strategy to deal with this issue. Among a wide range of EEG control signals, the most relevant modality for hearing loss diagnosis is auditory evoked potential (AEP) which is produced in the brain's cortex area through an auditory stimulus. This study aims to develop a robust intelligent auditory sensation system utilizing a pre-train deep learning framework by analyzing and evaluating the functional reliability of the hearing based on the AEP response. First, the raw AEP data is transformed into time-frequency images through the wavelet transformation. Then, lower-level functio

SUBMITTER: Islam MN 

PROVIDER: S-EPMC8507488 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature