Double density wavelet for EEG signal denoising

EEG signals usually were contaminated with unwanted artefacts that may hide some valuable information in the signals. In this paper, we implemented wavelet based image processing techniques known as 1-D Double Density and 1-D Double Density Complex for denoising EEG signals at various windows size....

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Main Authors:	Abdullah, Haslaile, Cvetkovic, Dean.
Format:	Conference or Workshop Item
Published:	2013
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/37573/
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Institution:	Universiti Teknologi Malaysia

id	my.utm.37573
record_format	eprints
spelling	my.utm.375732017-09-25T08:30:31Z http://eprints.utm.my/id/eprint/37573/ Double density wavelet for EEG signal denoising Abdullah, Haslaile Cvetkovic, Dean. TK Electrical engineering. Electronics Nuclear engineering EEG signals usually were contaminated with unwanted artefacts that may hide some valuable information in the signals. In this paper, we implemented wavelet based image processing techniques known as 1-D Double Density and 1-D Double Density Complex for denoising EEG signals at various windows size. The performances of these methods were compared and evaluated by calculating the Root Mean Square Error (RMSE). The minimum RMSE was achieved at the threshold value of 20. The 1-D Double Density Complex was outperformed 1-D Double Density and was effective in EEG signals denoising. 2013 Conference or Workshop Item PeerReviewed Abdullah, Haslaile and Cvetkovic, Dean. (2013) Double density wavelet for EEG signal denoising. In: 2nd International Conference on Machine Learning and Computer Science, 2013.
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/
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Abdullah, Haslaile Cvetkovic, Dean. Double density wavelet for EEG signal denoising
description	EEG signals usually were contaminated with unwanted artefacts that may hide some valuable information in the signals. In this paper, we implemented wavelet based image processing techniques known as 1-D Double Density and 1-D Double Density Complex for denoising EEG signals at various windows size. The performances of these methods were compared and evaluated by calculating the Root Mean Square Error (RMSE). The minimum RMSE was achieved at the threshold value of 20. The 1-D Double Density Complex was outperformed 1-D Double Density and was effective in EEG signals denoising.
format	Conference or Workshop Item
author	Abdullah, Haslaile Cvetkovic, Dean.
author_facet	Abdullah, Haslaile Cvetkovic, Dean.
author_sort	Abdullah, Haslaile
title	Double density wavelet for EEG signal denoising
title_short	Double density wavelet for EEG signal denoising
title_full	Double density wavelet for EEG signal denoising
title_fullStr	Double density wavelet for EEG signal denoising
title_full_unstemmed	Double density wavelet for EEG signal denoising
title_sort	double density wavelet for eeg signal denoising
publishDate	2013
url	http://eprints.utm.my/id/eprint/37573/
_version_	1643650141459054592

Double density wavelet for EEG signal denoising

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