Universiti Teknologi Malaysia Institutional Repository

Relative wavelet energy as a tool to select suitable wavelet for artifact removal in EEG

Mohd. Daud, Salwani and Yunus, Jasmy (2005) Relative wavelet energy as a tool to select suitable wavelet for artifact removal in EEG. In: Proceeding of 1st Conference on Computers, Communication, and Signal Processing, 14-16 November 2005, Kuala Lumpur.

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Official URL: https://dx.doi.org/10.1109/CCSP.2005.4977207


We proposed a novel approach to select a wavelet for artifact removal in electroencephalogram (EEG) by comparing their relative wavelet energies before and after thresholding. Relative wavelet energy (RWE) gives information about the relative energy associated with different frequency bands and can be considered as a time-scale density. RWE can be used as a tool to detect and characterize a specific phenomenon in time and frequency planes. We used Lifting Wavelet Transform to remove the common artifacts exist in EEG i.e. blink and eye movements. Three basic steps involved are to transform the EEG, hard thresholding the wavelet coefficients and the corrected EEG is obtained by inverse transform these threshold coefficients. It is of paramount important to select a suitable wavelet and threshold to accomplish this task. From this study, we concluded that cdf4.4 outperformed db4 and haar wavelets by removing the artifacts at the correct times and frequency bands.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:EEG, lifting wavelet transform, ocular artifacts, relative wavelet energy
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:1798
Deposited By: Dr Zaharuddin Mohamed
Deposited On:15 Mar 2007 02:50
Last Modified:28 Aug 2017 01:36

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