Auditory Brainstem Response Detection Using Machine Learning: A Comparison With Statistical Detection Methods

Conclusions: The stacked ensemble model presented was more effective than conventional statistical ABR detection methods and the alternative machine learning approaches tested. The stacked ensemble detection method may have potential both in automated ABR screening devices as well as in evoked potential software, assisting clinicians in making decisions regarding a patient’s ABR threshold. Further assessment of the model’s generalizability using a large cohort of subject recorded data, including participants of different ages and hearing status, is a recommended next step.
Source: Ear and Hearing - Category: Audiology Tags: Research Articles Source Type: research