Automated Auditory Brainstem Response Interpretation

Rafael E. Delgado, Öcan Özdamar

Research output: Contribution to journalArticlepeer-review

54 Scopus citations


In this study, we report a complete automated system for auditory brainstem response identification and waveform recognition. The goal was to develop an automated analysis methodology that would facilitate the clinical use of auditory brainstem responses by reducing the time required to manually label and measure absolute and interpeak latencies. The system presented here accomplished this goal, supplying not only threshold information, but also additional diagnostically significant information. In addition, such an automated system will standardize the labeling process, which can vary depending on the labeling preference of individual clinicians.

Original languageEnglish (US)
Pages (from-to)227-237
Number of pages11
JournalIEEE Engineering in Medicine and Biology Magazine
Issue number2
StatePublished - 1994

ASJC Scopus subject areas

  • Biomedical Engineering


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