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

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...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Mohd. Daud, Salwani, Yunus, Jasmy
التنسيق: Conference or Workshop Item
اللغة:English
منشور في: 2005
الموضوعات:
TK Electrical engineering. Electronics Nuclear engineering
الوصول للمادة أونلاين:http://eprints.utm.my/id/eprint/1798/1/Salwani05_Relative_Wavelet_Energy.pdf
http://eprints.utm.my/id/eprint/1798/
https://dx.doi.org/10.1109/CCSP.2005.4977207
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id my.utm.1798
record_format eprints
spelling my.utm.17982017-08-28T01:36:01Z http://eprints.utm.my/id/eprint/1798/ Relative wavelet energy as a tool to select suitable wavelet for artifact removal in EEG Mohd. Daud, Salwani Yunus, Jasmy TK Electrical engineering. Electronics Nuclear engineering 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. 2005-11-14 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/1798/1/Salwani05_Relative_Wavelet_Energy.pdf 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. https://dx.doi.org/10.1109/CCSP.2005.4977207
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 TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohd. Daud, Salwani
Yunus, Jasmy
Relative wavelet energy as a tool to select suitable wavelet for artifact removal in EEG
description 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.
format Conference or Workshop Item
author Mohd. Daud, Salwani
Yunus, Jasmy
author_facet Mohd. Daud, Salwani
Yunus, Jasmy
author_sort Mohd. Daud, Salwani
title Relative wavelet energy as a tool to select suitable wavelet for artifact removal in EEG
title_short Relative wavelet energy as a tool to select suitable wavelet for artifact removal in EEG
title_full Relative wavelet energy as a tool to select suitable wavelet for artifact removal in EEG
title_fullStr Relative wavelet energy as a tool to select suitable wavelet for artifact removal in EEG
title_full_unstemmed Relative wavelet energy as a tool to select suitable wavelet for artifact removal in EEG
title_sort relative wavelet energy as a tool to select suitable wavelet for artifact removal in eeg
publishDate 2005
url http://eprints.utm.my/id/eprint/1798/1/Salwani05_Relative_Wavelet_Energy.pdf
http://eprints.utm.my/id/eprint/1798/
https://dx.doi.org/10.1109/CCSP.2005.4977207
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score 13.251813

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