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Computer methods for on-line hearing testing with auditory brain stem responses.

O Ozdamar1, R E Delgado, R E Eilers

  • 1Department of Biomedical Engineering, University of Miami, Coral Gables, Florida.

Ear and Hearing
|December 1, 1990
PubMed
Summary
This summary is machine-generated.

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Automated hearing testing using auditory brain stem responses (ABR) was improved with on-line computer methods. Different response recognition and threshold tracking techniques impact overall test efficiency.

Area of Science:

  • Audiology
  • Biomedical Engineering
  • Computational Neuroscience

Background:

  • Auditory brain stem responses (ABR) are crucial for objective hearing assessment.
  • Automating ABR testing can enhance efficiency and accessibility.
  • Developing effective on-line algorithms is key for real-time analysis.

Purpose of the Study:

  • To develop and evaluate on-line computer methods for automated ABR hearing testing.
  • To assess the performance of different response recognition and threshold tracking algorithms.
  • To determine the impact of these algorithms on test efficiency.

Main Methods:

  • Developed an on-line system with response recognition and threshold tracking units.
  • Evaluated two response recognition methods: variance ratio (non-template) and cross-correlation (template).

Related Experiment Videos

  • Explored three threshold tracking methods: clinical, Békésy, and PEST (parameter estimation by sequential testing).

    • Main Results:

    • Both response recognition methods demonstrated reasonable accuracy.
    • Significant differences in test efficiency were observed based on the chosen threshold tracking method.
    • Computer simulations using recorded ABR data validated the on-line system's performance.

    Conclusions:

    • On-line automated ABR testing systems are feasible and accurate.
    • Threshold tracking methodology significantly influences the efficiency of automated ABR testing.
    • Further optimization of tracking algorithms can improve clinical application of automated ABR.