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Published January 1, 2025 | Version v1
Conference paper Open

Deep learning based classification and latency prediction in ABR signals

Creators

  • 1. Istanbul Medipol Univ, Dept Comp Engn, Istanbul, Turkiye
  • 2. Bakircay Univ, Dept Audiol, Izmir, Turkiye
  • 3. Istanbul Medipol Univ, Dept Hlth Sci, Istanbul, Turkiye
  • 4. Ozyegin Univ, Dept Artificial Intelligence & Data Engn, Istanbul, Turkiye

Description

This paper proposes a CNN-based deep learning approach for detecting and identifying the fifth peak (Wave V) in Auditory Brainstem Response (ABR) signals. By performing two tasks: accurately predicting the peak location of wave V (R-2 = 0.91) and classifying its presence (accuracy = 89.9%). These results demonstrate the potential of deep learning to enhance the precision and efficiency of auditory diagnostics while reducing manual interpretation efforts.

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