Automatic Recognition of Auditory Brainstem Response Waveforms Using a Deep Learning-Based Framework.

Objective: Recognition of auditory brainstem response (ABR) waveforms may be challenging, particularly for older individuals or those with hearing loss. This study aimed to investigate deep learning frameworks to improve the automatic recognition of ABR waveforms in participants with varying ages and hearing levels.

Study Design: The research used a descriptive study design to collect and analyze pure tone audiometry and ABR data from 100 participants.