Universiti Teknologi Malaysia Institutional Repository

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

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.


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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.

Item Type:Thesis (Masters)
Additional Information:Thesis (Sarjana Kejuruteraan (Bioperubatan)) - Universiti Teknologi Malaysia, 2016; Supervisor : Prof. Ir. Dr. Sheikh Hussain Shaikh Salleh
Subjects:Q Science > QH Natural history > QH301 Biology
Divisions:Biosciences and Medical Engineering
ID Code:79082
Deposited By: Fazli Masari
Deposited On:27 Sep 2018 06:07
Last Modified:27 Sep 2018 06:07

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