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Detection of Auditory Brainstem Response Peaks Using Image Processing Techniques in Infants with Normal Hearing Sensitivity
Findings: Image processing techniques were able to detect 1, 3, and 5 waves in the diagnosis field with accuracy (0. 82), (0. 98), and (0. 98), respectively, and its precision for waves 1, 3, and 5, were respectively (0. 32), (0. 97) and (0. 87).
Multi-Transfer Learning Techniques for Detecting Auditory Brainstem Response
To address these issues, this study proposed deep-learning models using the transfer-learning (TL) approach to extract features from ABR testing and diagnose HL using support vector machines (SVM).
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