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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
http://eprints.utm.my/id/eprint/79082/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:110504
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spelling my.utm.790822018-09-27T06:07:24Z http://eprints.utm.my/id/eprint/79082/ Modified cyclic shift tree denoising technique with fewer number of sweep for wave V detection 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 NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/79082/1/WanSitiNurMFBME2016.pdf Wan Abdul Aziz, Wan Siti Nur Aminah (2016) Modified cyclic shift tree denoising technique with fewer number of sweep for wave V detection. Masters thesis, Universiti Teknologi Malaysia, Faculty of Biosciences and Medical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:110504
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
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
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
publishDate 2016
url http://eprints.utm.my/id/eprint/79082/1/WanSitiNurMFBME2016.pdf
http://eprints.utm.my/id/eprint/79082/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:110504
_version_ 1643658092691324928
score 13.211869

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