Modified cyclic shift tree denoising technique with fewer number of sweep for wave V detection

Nowadays, in developing countries Newborn Hearing Screening (NHS) has become one of the most important recommendations in modern pediatric audiology due to the important of early detection for newborn as the first six month of age are the critical period for learning communication. Auditory Brainste...

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Main Author:	Wan Abdul Aziz, Wan Siti Nur Aminah
Format:	Thesis
Language:	English
Published:	2016
Subjects:	QH301 Biology
Online Access:	http://eprints.utm.my/id/eprint/79082/1/WanSitiNurMFBME2016.pdf
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id	my-utm-ep.79082
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spelling	my-utm-ep.790822018-09-27T06:07:24Z Modified cyclic shift tree denoising technique with fewer number of sweep for wave V detection 2016-04 Wan Abdul Aziz, Wan Siti Nur Aminah QH301 Biology Nowadays, in developing countries Newborn Hearing Screening (NHS) has become one of the most important recommendations in modern pediatric audiology due to the important of early detection for newborn as the first six month of age are the critical period for learning communication. Auditory Brainstem Response (ABR) is an electrophysiological response in the electroencephalography generated in the brainstem in response to the acoustical stimulus. The conventional method used previously was accurate, but it is time consuming especially with the presence of noise interference. The objective of this research is to reduce screening time by implementing enhanced signal processing method and also to reduce the influence of noise interference. This thesis applies Wavelet Kalman Filter (WKF), Cyclic Shift Tree Denoising (CSTD) and Modified Cyclic Shift Tree Denoising (MCSTD) to overcome these problems. The modified approach MSCTD is a modification from CSTD where it is a combination of the wavelet, KF and CSTD. The modified approach was compared to the averaging, WKF and CSTD to analyze an effective wavelet method for denoising that can give the rapid and accurate extraction of ABRs. Results show that the MCSTD outperform the other methods and giving the highest SNR value and able to detect wave V until reduce sweeps number of 512 and 1024 respectively for chirp and click stimulus. 2016-04 Thesis http://eprints.utm.my/id/eprint/79082/ http://eprints.utm.my/id/eprint/79082/1/WanSitiNurMFBME2016.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:110504 masters Universiti Teknologi Malaysia, Faculty of Biosciences and Medical Engineering Faculty of Biosciences and Medical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QH301 Biology
spellingShingle	QH301 Biology Wan Abdul Aziz, Wan Siti Nur Aminah Modified cyclic shift tree denoising technique with fewer number of sweep for wave V detection
description	Nowadays, in developing countries Newborn Hearing Screening (NHS) has become one of the most important recommendations in modern pediatric audiology due to the important of early detection for newborn as the first six month of age are the critical period for learning communication. Auditory Brainstem Response (ABR) is an electrophysiological response in the electroencephalography generated in the brainstem in response to the acoustical stimulus. The conventional method used previously was accurate, but it is time consuming especially with the presence of noise interference. The objective of this research is to reduce screening time by implementing enhanced signal processing method and also to reduce the influence of noise interference. This thesis applies Wavelet Kalman Filter (WKF), Cyclic Shift Tree Denoising (CSTD) and Modified Cyclic Shift Tree Denoising (MCSTD) to overcome these problems. The modified approach MSCTD is a modification from CSTD where it is a combination of the wavelet, KF and CSTD. The modified approach was compared to the averaging, WKF and CSTD to analyze an effective wavelet method for denoising that can give the rapid and accurate extraction of ABRs. Results show that the MCSTD outperform the other methods and giving the highest SNR value and able to detect wave V until reduce sweeps number of 512 and 1024 respectively for chirp and click stimulus.
format	Thesis
qualification_level	Master's degree
author	Wan Abdul Aziz, Wan Siti Nur Aminah
author_facet	Wan Abdul Aziz, Wan Siti Nur Aminah
author_sort	Wan Abdul Aziz, Wan Siti Nur Aminah
title	Modified cyclic shift tree denoising technique with fewer number of sweep for wave V detection
title_short	Modified cyclic shift tree denoising technique with fewer number of sweep for wave V detection
title_full	Modified cyclic shift tree denoising technique with fewer number of sweep for wave V detection
title_fullStr	Modified cyclic shift tree denoising technique with fewer number of sweep for wave V detection
title_full_unstemmed	Modified cyclic shift tree denoising technique with fewer number of sweep for wave V detection
title_sort	modified cyclic shift tree denoising technique with fewer number of sweep for wave v detection
granting_institution	Universiti Teknologi Malaysia, Faculty of Biosciences and Medical Engineering
granting_department	Faculty of Biosciences and Medical Engineering
publishDate	2016
url	http://eprints.utm.my/id/eprint/79082/1/WanSitiNurMFBME2016.pdf
_version_	1747818142374035456

Modified cyclic shift tree denoising technique with fewer number of sweep for wave V detection

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