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 |
|---|---|
| Pages (from-to) | 227-237 |
| Number of pages | 11 |
| Journal | IEEE Engineering in Medicine and Biology Magazine |
| Volume | 13 |
| Issue number | 2 |
| DOIs | |
| State | Published - Apr 1 1994 |
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ASJC Scopus subject areas
- Biomedical Engineering
- Health Informatics
- Health Information Management
Cite this
Automated auditory brainstem response interpretation. / Delgado, Rafael E.; Ozdamar, Ozcan.
In: IEEE Engineering in Medicine and Biology Magazine, Vol. 13, No. 2, 01.04.1994, p. 227-237.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Automated auditory brainstem response interpretation
AU - Delgado, Rafael E.
AU - Ozdamar, Ozcan
PY - 1994/4/1
Y1 - 1994/4/1
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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UR - http://www.scopus.com/inward/citedby.url?scp=0028166879&partnerID=8YFLogxK
U2 - 10.1109/51.281682
DO - 10.1109/51.281682
M3 - Article
AN - SCOPUS:0028166879
VL - 13
SP - 227
EP - 237
JO - IEEE Pulse
JF - IEEE Pulse
SN - 2154-2287
IS - 2
ER -