Automated Auditory Brainstem Response Interpretation

Rafael E. Delgado; Öcan Özdamar

doi:10.1109/51.281682

Automated Auditory Brainstem Response Interpretation

Rafael E. Delgado, Öcan Özdamar

Biomedical Engineering

Research output: Contribution to journal › Article › peer-review

54 Scopus citations

Abstract

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 language	English (US)
Pages (from-to)	227-237
Number of pages	11
Journal	IEEE Engineering in Medicine and Biology Magazine
Volume	13
Issue number	2
DOIs	https://doi.org/10.1109/51.281682
State	Published - 1994

ASJC Scopus subject areas

Biomedical Engineering

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abstract = "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.",

author = "Delgado, {Rafael E.} and {\"O}can {\"O}zdamar",

note = "Funding Information: The authors thank Drs. Rebecca Eilers, Robert Fifer, Tarek Khalil, Kimbrough Oller and Ernest Peterson for their help with this study. This study was partially supported by Small Business Innovation Research (SBIR) Grant (No. 1 R43 NS 23666-01) to Intelligent Hearing Systems.",

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AU - Özdamar, Öcan

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N2 - 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.

AB - 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.

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Automated Auditory Brainstem Response Interpretation

Abstract

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