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Related Experiment Videos

Automated electrophysiologic hearing testing using a threshold-seeking algorithm

O Ozdamar1, R E Delgado, R E Eilers

  • 1Department of Biomedical Engineering, University of Miami, Coral Gables, FL 33124.

Journal of the American Academy of Audiology
|March 1, 1994
PubMed
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Automated algorithms can effectively identify auditory brainstem responses (ABR) for hearing screening. This automated ABR testing is fast, reliable, and comparable to expert evaluations.

Area of Science:

  • Audiology
  • Biomedical Engineering
  • Signal Processing

Background:

  • Auditory brainstem response (ABR) testing is crucial for hearing assessment.
  • Traditional ABR methods can be time-consuming and require expert interpretation.
  • Developing automated solutions can improve efficiency and accessibility of hearing screening.

Purpose of the Study:

  • To evaluate the efficacy of a microcomputer-based automated algorithm for identifying auditory brainstem responses (ABR).
  • To develop and validate a system for automated hearing screening using click-evoked ABR.

Main Methods:

  • Development of a microcomputer-based threshold-seeking algorithm for click-evoked ABR.
  • Implementation of an evoked-response recognizer using correlation methods.

Related Experiment Videos

  • Utilization of the Parameter Estimation by Sequential Testing (PEST) procedure for threshold tracking and automated sound level adjustment.

    • Main Results:

    • Automated ABR testing was completed in under 15 minutes per ear.
    • The automated procedure demonstrated high correlation with expert judgments of ABR threshold.
    • Excellent test-retest reliability was observed, indicating consistent performance.

    Conclusions:

    • Automated algorithms are effective for identifying auditory brainstem responses.
    • This automated ABR testing method offers a viable and efficient alternative to traditional hearing screening.
    • The developed system shows promise for widespread application in audiological assessments.