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Semi-Automated Analysis of Peak Amplitude and Latency for Auditory Brainstem Response Waveforms Using R
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Real-time threshold determination of auditory brainstem responses by cross-correlation analysis.

Haoyu Wang1,2,3,4, Bei Li1, Yan Lu4

  • 1Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai, China.

Iscience
|November 12, 2021
PubMed
Summary

This study introduces an automated method for determining auditory brainstem response (ABR) thresholds, improving hearing assessment accuracy. The novel algorithm reliably identifies auditory perception levels in both animal and human tests.

Keywords:
AlgorithmsSensory neuroscienceTechniques in neuroscience

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Area of Science:

  • Neuroscience
  • Audiology
  • Biomedical Engineering

Background:

  • Auditory brainstem response (ABR) is crucial for objective hearing function assessment.
  • Current ABR threshold determination relies on manual visual inspection, lacking automation and consistency.
  • Automating ABR threshold determination is a long-standing challenge in audiology.

Purpose of the Study:

  • To develop a robust, fully automated procedure for determining ABR thresholds.
  • To enable reliable ABR testing in both animal models and human subjects.
  • To overcome the limitations of current machine algorithms in ABR analysis.

Main Methods:

  • Implemented a cross-correlation analysis to detect time-locked waveforms in ABR recordings.
  • Automated the termination of level averaging based on waveform detection.
  • Defined threshold level by a significant increase in sweep numbers for qualified averaging.
  • Adapted level averaging based on signal-to-noise ratio using cross-correlation.

Main Results:

  • Achieved a strong agreement between the automated algorithm's results and human expert readings.
  • Demonstrated the method's effectiveness in both animal and human ABR tests.
  • The algorithm successfully adapted to varying signal-to-noise ratios.

Conclusions:

  • The developed method provides a robust and fully automated approach to ABR threshold determination.
  • This automation enhances the efficiency and reliability of hearing function assessments.
  • The technique holds promise for widespread application in clinical and research settings.