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 English
Published:	2008
Subjects:	RF Otorhinolaryngology RJ Pediatrics
Online Access:	http://irep.iium.edu.my/41111/ http://irep.iium.edu.my/41111/1/Gmail_-_NHS_2008_Conference_-_Notification_of_acceptance_%28poster%29.pdf http://irep.iium.edu.my/41111/2/Poster_FINAL.pdf http://irep.iium.edu.my/41111/8/programbook.pdf

id	iium-41111
recordtype	eprints
spelling	iium-411112015-03-05T04:26:02Z http://irep.iium.edu.my/41111/ 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. 2008-06-19 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/41111/1/Gmail_-_NHS_2008_Conference_-_Notification_of_acceptance_%28poster%29.pdf application/pdf en http://irep.iium.edu.my/41111/2/Poster_FINAL.pdf application/pdf en http://irep.iium.edu.my/41111/8/programbook.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: International conference on Newborn Hearing Screening 2008, 19-21 June 2008, Villa ERBA, Como, Italy. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English 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/41111/ http://irep.iium.edu.my/41111/1/Gmail_-_NHS_2008_Conference_-_Notification_of_acceptance_%28poster%29.pdf http://irep.iium.edu.my/41111/2/Poster_FINAL.pdf http://irep.iium.edu.my/41111/8/programbook.pdf
first_indexed	2023-09-18T20:58:54Z
last_indexed	2023-09-18T20:58:54Z
_version_	1777410490113196032

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

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