Comparison of few wavelets to filter ocular artifacts in EEG using lifting wavelet transform
We proposed a technique to remove ocular artifact (OA) from electroencephalogram (EEG) using Lifting Wavelet Transform (LWT). The objectives of OA filtering are threefold 1) to reduce the OA magnitude, 2) to retain the neural EEG potentials and 3) to make corrections at the right time localization....
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my.utm.297582022-01-31T08:41:39Z http://eprints.utm.my/id/eprint/29758/ Comparison of few wavelets to filter ocular artifacts in EEG using lifting wavelet transform Salwani, M. D. Jasmy, Y. TK Electrical engineering. Electronics Nuclear engineering We proposed a technique to remove ocular artifact (OA) from electroencephalogram (EEG) using Lifting Wavelet Transform (LWT). The objectives of OA filtering are threefold 1) to reduce the OA magnitude, 2) to retain the neural EEG potentials and 3) to make corrections at the right time localization. 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. In this investigation, few wavelets were used and their effectiveness performances were compared visually. A level-dependent threshold used was suitable for both blinking and eyeball movements' corrections. From this study, we concluded that Haar and rbio3.1 outperformed db4 and cdf4.4 wavelets, and had achieved the objectives of OA removal. 2005-11-21 Conference or Workshop Item PeerReviewed Salwani, M. D. and Jasmy, Y. (2005) Comparison of few wavelets to filter ocular artifacts in EEG using lifting wavelet transform. In: TENCON 2005 - 2005 IEEE Region 10 Conference, 21 November 2005 - 24 November 2005, Melbourne, VIC, Australia. http://dx.doi.org/10.1109/TENCON.2005.301044 |
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TK Electrical engineering. Electronics Nuclear engineering Salwani, M. D. Jasmy, Y. Comparison of few wavelets to filter ocular artifacts in EEG using lifting wavelet transform |
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We proposed a technique to remove ocular artifact (OA) from electroencephalogram (EEG) using Lifting Wavelet Transform (LWT). The objectives of OA filtering are threefold 1) to reduce the OA magnitude, 2) to retain the neural EEG potentials and 3) to make corrections at the right time localization. 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. In this investigation, few wavelets were used and their effectiveness performances were compared visually. A level-dependent threshold used was suitable for both blinking and eyeball movements' corrections. From this study, we concluded that Haar and rbio3.1 outperformed db4 and cdf4.4 wavelets, and had achieved the objectives of OA removal. |
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Conference or Workshop Item |
author |
Salwani, M. D. Jasmy, Y. |
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Salwani, M. D. Jasmy, Y. |
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Salwani, M. D. |
title |
Comparison of few wavelets to filter ocular artifacts in EEG using lifting wavelet transform |
title_short |
Comparison of few wavelets to filter ocular artifacts in EEG using lifting wavelet transform |
title_full |
Comparison of few wavelets to filter ocular artifacts in EEG using lifting wavelet transform |
title_fullStr |
Comparison of few wavelets to filter ocular artifacts in EEG using lifting wavelet transform |
title_full_unstemmed |
Comparison of few wavelets to filter ocular artifacts in EEG using lifting wavelet transform |
title_sort |
comparison of few wavelets to filter ocular artifacts in eeg using lifting wavelet transform |
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2005 |
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http://eprints.utm.my/id/eprint/29758/ http://dx.doi.org/10.1109/TENCON.2005.301044 |
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