Use of a Non-Linear Algorithm to Improve the Maximum Length Sequence Auditory Brainstem Response

Background: The auditory brainstem response (ABR) is the most preferred tool in Universal Newborn Hearing Screening (UNHS) because of its high sensitivity and specificity and its ability to detect abnormalities up to auditory nerve. However, the testing time is considerably long does increase the c...

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Main Authors:	Dzulkarnain, Ahmad Aidil Arafat, Wilson, Wayne, Bradley, Andrew, Nik Mohamad, Nik Amnah, Petoe, Matthew, Smith, Andrew, Jamaluddin, Saiful Adli, Ali Hanafiah, Nurlin
Format:	Conference or Workshop Item
Language:	English
Published:	2012
Subjects:	R Medicine (General)
Online Access:	http://irep.iium.edu.my/26739/ http://irep.iium.edu.my/26739/4/IRIIE_2012A.pdf

id	iium-26739
recordtype	eprints
spelling	iium-267392013-07-16T00:58:16Z http://irep.iium.edu.my/26739/ Use of a Non-Linear Algorithm to Improve the Maximum Length Sequence Auditory Brainstem Response Dzulkarnain, Ahmad Aidil Arafat Wilson, Wayne Bradley, Andrew Nik Mohamad, Nik Amnah Petoe, Matthew Smith, Andrew Jamaluddin, Saiful Adli Ali Hanafiah, Nurlin R Medicine (General) Background: The auditory brainstem response (ABR) is the most preferred tool in Universal Newborn Hearing Screening (UNHS) because of its high sensitivity and specificity and its ability to detect abnormalities up to auditory nerve. However, the testing time is considerably long does increase the cost of running UNHS. One of the possible techniques to shorten the ABR testing time is by using high stimulus repetition rate through linear Maximum Length Sequence (lMLS). This algorithm has been reported to have poor signal to noise ratio thus increase the testing time. The present study has developed a new non linear MLS (nlMLS) which aims to overcome the mismatch between the non-linearity of the auditory system and the linearity aspect of the algorithm. Aim This study is aimed to investigate the effect of using the novel nonlinear MLS (nlMLS) to the ABR results in newborn subjects. Methodology 30 newborn subjects whom passed the UNHS were involved in this study. ABR were recorded using MLS using both linear and non linear reconstruction at 180, 250, 500 and 836 cps using a custom built evoked potential system. In addition, the ABR was recorded using vertical electrode montage (non-inverting: high forehead, inverting: nape of neck and ground: shoulder). Next, the wave V amplitude and signal to noise ratio (SNR) were calculated for each ABR. The ABR wave V amplitude was calculated from the peak of wave V to the following trough while SNR was derived from variance ratio at single point (Fsp) formula. MLS ABR were recorded using order 6 with 160 trains for 180 cps, 240 trains for 250 cps, 280 trains for 500 cps and 320 trains for 836 cps. Results Results show that the nlMLS has significantly higher amplitude and better SNR value than ABR recorded with lMLS (RM ANOVA, p<0.05) at the same stimulus repetition rate. The amplitude of wave V value increase from 13.3 to 53.6% when changing from lMLS to nlMLS with the maximum increment observed in MLS ABR at 500 cps. The SNR increase from 19.8 to 63 % when changing from lMLS to nlMLS with the maximum increment observed in MLS ABR at 500 cps. Conclusion With these results, nonlinear algorithm is considered as a good tool to be applied in ABR recording in particular for UNHS as it can improve the SNR, amplitude and further more can save the recording time. * This paper has been presented at XXII Biennial International Evoked Response Audiometry Study Group Symposium, Moscow 2011 2012 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/26739/4/IRIIE_2012A.pdf Dzulkarnain, Ahmad Aidil Arafat and Wilson, Wayne and Bradley, Andrew and Nik Mohamad, Nik Amnah and Petoe, Matthew and Smith, Andrew and Jamaluddin, Saiful Adli and Ali Hanafiah, Nurlin (2012) Use of a Non-Linear Algorithm to Improve the Maximum Length Sequence Auditory Brainstem Response. In: IIUM Research, Invention and Innovation Exhibition 2012, 20-22 February 2012, Gombak, Kuala Lumpur.
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	R Medicine (General)
spellingShingle	R Medicine (General) Dzulkarnain, Ahmad Aidil Arafat Wilson, Wayne Bradley, Andrew Nik Mohamad, Nik Amnah Petoe, Matthew Smith, Andrew Jamaluddin, Saiful Adli Ali Hanafiah, Nurlin Use of a Non-Linear Algorithm to Improve the Maximum Length Sequence Auditory Brainstem Response
description	Background: The auditory brainstem response (ABR) is the most preferred tool in Universal Newborn Hearing Screening (UNHS) because of its high sensitivity and specificity and its ability to detect abnormalities up to auditory nerve. However, the testing time is considerably long does increase the cost of running UNHS. One of the possible techniques to shorten the ABR testing time is by using high stimulus repetition rate through linear Maximum Length Sequence (lMLS). This algorithm has been reported to have poor signal to noise ratio thus increase the testing time. The present study has developed a new non linear MLS (nlMLS) which aims to overcome the mismatch between the non-linearity of the auditory system and the linearity aspect of the algorithm. Aim This study is aimed to investigate the effect of using the novel nonlinear MLS (nlMLS) to the ABR results in newborn subjects. Methodology 30 newborn subjects whom passed the UNHS were involved in this study. ABR were recorded using MLS using both linear and non linear reconstruction at 180, 250, 500 and 836 cps using a custom built evoked potential system. In addition, the ABR was recorded using vertical electrode montage (non-inverting: high forehead, inverting: nape of neck and ground: shoulder). Next, the wave V amplitude and signal to noise ratio (SNR) were calculated for each ABR. The ABR wave V amplitude was calculated from the peak of wave V to the following trough while SNR was derived from variance ratio at single point (Fsp) formula. MLS ABR were recorded using order 6 with 160 trains for 180 cps, 240 trains for 250 cps, 280 trains for 500 cps and 320 trains for 836 cps. Results Results show that the nlMLS has significantly higher amplitude and better SNR value than ABR recorded with lMLS (RM ANOVA, p<0.05) at the same stimulus repetition rate. The amplitude of wave V value increase from 13.3 to 53.6% when changing from lMLS to nlMLS with the maximum increment observed in MLS ABR at 500 cps. The SNR increase from 19.8 to 63 % when changing from lMLS to nlMLS with the maximum increment observed in MLS ABR at 500 cps. Conclusion With these results, nonlinear algorithm is considered as a good tool to be applied in ABR recording in particular for UNHS as it can improve the SNR, amplitude and further more can save the recording time. * This paper has been presented at XXII Biennial International Evoked Response Audiometry Study Group Symposium, Moscow 2011
format	Conference or Workshop Item
author	Dzulkarnain, Ahmad Aidil Arafat Wilson, Wayne Bradley, Andrew Nik Mohamad, Nik Amnah Petoe, Matthew Smith, Andrew Jamaluddin, Saiful Adli Ali Hanafiah, Nurlin
author_facet	Dzulkarnain, Ahmad Aidil Arafat Wilson, Wayne Bradley, Andrew Nik Mohamad, Nik Amnah Petoe, Matthew Smith, Andrew Jamaluddin, Saiful Adli Ali Hanafiah, Nurlin
author_sort	Dzulkarnain, Ahmad Aidil Arafat
title	Use of a Non-Linear Algorithm to Improve the Maximum Length Sequence Auditory Brainstem Response
title_short	Use of a Non-Linear Algorithm to Improve the Maximum Length Sequence Auditory Brainstem Response
title_full	Use of a Non-Linear Algorithm to Improve the Maximum Length Sequence Auditory Brainstem Response
title_fullStr	Use of a Non-Linear Algorithm to Improve the Maximum Length Sequence Auditory Brainstem Response
title_full_unstemmed	Use of a Non-Linear Algorithm to Improve the Maximum Length Sequence Auditory Brainstem Response
title_sort	use of a non-linear algorithm to improve the maximum length sequence auditory brainstem response
publishDate	2012
url	http://irep.iium.edu.my/26739/ http://irep.iium.edu.my/26739/4/IRIIE_2012A.pdf
first_indexed	2023-09-18T20:39:47Z
last_indexed	2023-09-18T20:39:47Z
_version_	1777409288301445120

Use of a Non-Linear Algorithm to Improve the Maximum Length Sequence Auditory Brainstem Response

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