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Rapid NHS using AABR with high stimulus repetition rates and automated signal detection

The automated auditory brainstem response (AABR) is an important tool for detecting hearing impairment in newborns, but it is often hindered by unacceptably long test times. On average, it takes 3 to 5 minutes per infant to acquire sufficient data to determine if an AABR waveform is present or absen...

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Main Authors: Dzulkarnain, Ahmad Aidil Arafat, Wilson, Wayne, Bradley, Andrew, Petoe, Matthew, Moon, Jackie
Format: Conference or Workshop Item
Language:English
English
Published: 2008
Subjects:
RF Otorhinolaryngology
RJ Pediatrics
Online Access:http://irep.iium.edu.my/41112/1/Notification_of_acceptance_%28poster%29.pdf
http://irep.iium.edu.my/41112/2/Poster_FINAL.pdf
http://irep.iium.edu.my/41112/
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spelling my.iium.irep.411122015-03-11T05:09:47Z http://irep.iium.edu.my/41112/ Rapid NHS using AABR with high stimulus repetition rates and automated signal detection Dzulkarnain, Ahmad Aidil Arafat Wilson, Wayne Bradley, Andrew Petoe, Matthew Moon, Jackie RF Otorhinolaryngology RJ Pediatrics The automated auditory brainstem response (AABR) is an important tool for detecting hearing impairment in newborns, but it is often hindered by unacceptably long test times. On average, it takes 3 to 5 minutes per infant to acquire sufficient data to determine if an AABR waveform is present or absent. The successful reduction of this average test time would be of significant benefit to both the institutions and the societies providing UNHS services. Our aim was to determine if increased stimulus repetition rates and automated signal detection could be used to reduce AABR test time. To do this, we conveniently sampled 80 neonates (aged 0 to 3 days) from the Mater Mothers’ Hospital in Brisbane, Australia, all of whom had passed a screening test in both ears using that hospital’s hearing screening device. We reassessed these neonates in one ear (right or left) using our purpose built AABR device, obtaining AABR waveforms from each neonate using 35 dBnHL conventional click stimuli at 33 and 90 clicks per second (cps) and 35 dBnHL maximum length sequence (MLS) click stimuli at 180, 250, 500 and 833 cps with both bipolar and unipolar reconstructions. We then analysed these AABR waveforms off-line using subjective detection by a human observer, and the automatic signal detection techniques of Fsp and cross-correlation, to determine which combination of these stimulus repetition rates and automatic detection techniques provided the shortest AABR test time. We will present the results of our study, its implications for the use of the AABR in UNHS, and our plans for future research. 2008 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/41112/1/Notification_of_acceptance_%28poster%29.pdf application/pdf en http://irep.iium.edu.my/41112/2/Poster_FINAL.pdf Dzulkarnain, Ahmad Aidil Arafat and Wilson, Wayne and Bradley, Andrew and Petoe, Matthew and Moon, Jackie (2008) Rapid NHS using AABR with high stimulus repetition rates and automated signal detection. In: XXIXth International Congress of Audiology, 8-12 June 2008, Hong Kong, China. (Unpublished)
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic RF Otorhinolaryngology
RJ Pediatrics
spellingShingle RF Otorhinolaryngology
RJ Pediatrics
Dzulkarnain, Ahmad Aidil Arafat
Wilson, Wayne
Bradley, Andrew
Petoe, Matthew
Moon, Jackie
Rapid NHS using AABR with high stimulus repetition rates and automated signal detection
description The automated auditory brainstem response (AABR) is an important tool for detecting hearing impairment in newborns, but it is often hindered by unacceptably long test times. On average, it takes 3 to 5 minutes per infant to acquire sufficient data to determine if an AABR waveform is present or absent. The successful reduction of this average test time would be of significant benefit to both the institutions and the societies providing UNHS services. Our aim was to determine if increased stimulus repetition rates and automated signal detection could be used to reduce AABR test time. To do this, we conveniently sampled 80 neonates (aged 0 to 3 days) from the Mater Mothers’ Hospital in Brisbane, Australia, all of whom had passed a screening test in both ears using that hospital’s hearing screening device. We reassessed these neonates in one ear (right or left) using our purpose built AABR device, obtaining AABR waveforms from each neonate using 35 dBnHL conventional click stimuli at 33 and 90 clicks per second (cps) and 35 dBnHL maximum length sequence (MLS) click stimuli at 180, 250, 500 and 833 cps with both bipolar and unipolar reconstructions. We then analysed these AABR waveforms off-line using subjective detection by a human observer, and the automatic signal detection techniques of Fsp and cross-correlation, to determine which combination of these stimulus repetition rates and automatic detection techniques provided the shortest AABR test time. We will present the results of our study, its implications for the use of the AABR in UNHS, and our plans for future research.
format Conference or Workshop Item
author Dzulkarnain, Ahmad Aidil Arafat
Wilson, Wayne
Bradley, Andrew
Petoe, Matthew
Moon, Jackie
author_facet Dzulkarnain, Ahmad Aidil Arafat
Wilson, Wayne
Bradley, Andrew
Petoe, Matthew
Moon, Jackie
author_sort Dzulkarnain, Ahmad Aidil Arafat
title Rapid NHS using AABR with high stimulus repetition rates and automated signal detection
title_short Rapid NHS using AABR with high stimulus repetition rates and automated signal detection
title_full Rapid NHS using AABR with high stimulus repetition rates and automated signal detection
title_fullStr Rapid NHS using AABR with high stimulus repetition rates and automated signal detection
title_full_unstemmed Rapid NHS using AABR with high stimulus repetition rates and automated signal detection
title_sort rapid nhs using aabr with high stimulus repetition rates and automated signal detection
publishDate 2008
url http://irep.iium.edu.my/41112/1/Notification_of_acceptance_%28poster%29.pdf
http://irep.iium.edu.my/41112/2/Poster_FINAL.pdf
http://irep.iium.edu.my/41112/
_version_ 1643611954750685184
score 13.211869

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