IIUM Repository

Fast Automated Auditory Brainstem Response (AABR) using new non linear Maximum Length Sequence (MLS) reconstruction and automated signal detection

Bradley, Andrew and Dzulkarnain, Ahmad Aidil Arafat and Wilson, W. J. and Petoe, Matthew and Smith, Andrew and Jamaluddin, Saiful Adli and Rahmat, Sarah and Moon, Jackie (2011) Fast Automated Auditory Brainstem Response (AABR) using new non linear Maximum Length Sequence (MLS) reconstruction and automated signal detection. In: IIUM Research, Invention and Innovation Exhibition IRIIE 2011, 9-10 February 2011, Gombak, Kuala Lumpur. (Unpublished)

[img] PDF (IRIIE p246) - Published Version
Restricted to Repository staff only

Download (280kB) | Request a copy

Abstract

The automated auditory brainstem response (AABR) is one of the successful screening tools used in Universal Newborn Hearing Screening (UNHS) but often hindered by unacceptably long test times. This present study has developed and used a new non linear Maximum Length Sequence (MLS) reconstruction algorithm which aims to account for the non linearity aspect in the auditory system and to reduce the time required to complete an AABR assessment for UNHS. 492 AABR waveforms from 126 neonates who underwent UNHS were included in the final data analysis. Those AABRs were acquired at 35 dBnHL and at six different stimulus repetition rates (33, 90, 125, 250 and 418 clicks per seconds). The recording was made using standard clicks (at 33 and 90 cps) and Maximum Length Sequence (MLS) with linear and new non linear MLS reconstruction (at 90, 125, 250 and 418 cps). The time to AABR detection for all stimulus repetition rates were determined using variance ratio analysis (Fsp at 99% confidence level). The result showed that all MLS median detection time was significantly different than the standard click at 33 cps (Mann Whitney U test, p< 0.001), linear and non linear MLS at 418 cps median test time was significantly different than the standard click at its maximum rate 90 cps (Mann Whitney U test, p< 0.001) and MLS linear and MLS non linear reconstruction median test time was statistically different (Friedman test, p< 0.003). The best median time to detection was 3.59 s provided by the MLS non linear reconstruction stimulus at 418 cps. This study concludes that the combination MLS non linear reconstruction and Fsp holds significant promise to reduce UNHS test time.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: 4465/26742
Uncontrolled Keywords: Automated Auditory Brainstem Response (AABR, non linear Maximum Length Sequence (MLS), signal detection
Subjects: R Medicine > R Medicine (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Allied Health Sciences > Department of Audiology and Speech-Language Pathology
Kulliyyah of Allied Health Sciences
Depositing User: Prof Dr Ahmad Aidil Arafat Dzulkarnain
Date Deposited: 21 Nov 2012 19:05
Last Modified: 11 Apr 2022 12:01
URI: http://irep.iium.edu.my/id/eprint/26742

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year