Cover Image

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....

Full description

Saved in:
Bibliographic Details
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/
Tags: Add Tag
No Tags, Be the first to tag this record!
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
score 13.160551

Similar Items