Selection of mother wavelets thresholding methods in denoising multi-channel EEG signals during working memory task

Noor Kamal Al-Qazzaz, Sawal Hamid Md Ali, Siti Anom Ahmad, Md. Shabiul Islam, Mohd Izhar Ariff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

Abstract

The aim of this pilot study was to select the most similar mother wavelet function and the most efficient threshold in order to use with wavelet basis function for the human brain electrical activity during working memory task. A 60 seconds was recorded from the scalp using the Electroencephalography (EEG). 19 electrodes were placed over different sites on the scalp where analyzed for one control subject and one post-stroke patients in the first week of his stroke onset. In this study, forty-five mother wavelet basis functions from orthogonal families with four thresholding methods were used. The selection of mother wavelet functions like Daubechies (db), symlet (sym) and coiflet (coif) and the thresholding methods these are sqtwolog, rigrsure, heursure and minimax are to check mother wavelet functions similarity with the recorded EEG signals during working memory task. The test have been done using four evaluating criteria, namely signal to noise ratio (SNR), peak signal to noise ratio (PSNR) mean square error (MSE) and crosscorelation method (xcorr). Symlet mother wavelet of order 9 (sym9) is the most compatible for all the 19 channels for both EEG datasets that selected to be examined and the best results have been obtained by using the rigrsure thresholding method.

Original languageEnglish
Title of host publicationIECBES 2014, Conference Proceedings - 2014 IEEE Conference on Biomedical Engineering and Sciences: "Miri, Where Engineering in Medicine and Biology and Humanity Meet"
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages214-219
Number of pages6
ISBN (Print)9781479940844
DOIs
Publication statusPublished - 23 Feb 2015
Event3rd IEEE Conference on Biomedical Engineering and Sciences, IECBES 2014 - Kuala Lumpur
Duration: 8 Dec 201410 Dec 2014

Other

Other3rd IEEE Conference on Biomedical Engineering and Sciences, IECBES 2014
CityKuala Lumpur
Period8/12/1410/12/14

Fingerprint

Electroencephalography
Data storage equipment
Signal to noise ratio
Mean square error
Brain
Electrodes

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Al-Qazzaz, N. K., Md Ali, S. H., Ahmad, S. A., Islam, M. S., & Ariff, M. I. (2015). Selection of mother wavelets thresholding methods in denoising multi-channel EEG signals during working memory task. In IECBES 2014, Conference Proceedings - 2014 IEEE Conference on Biomedical Engineering and Sciences: "Miri, Where Engineering in Medicine and Biology and Humanity Meet" (pp. 214-219). [7047488] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECBES.2014.7047488

Selection of mother wavelets thresholding methods in denoising multi-channel EEG signals during working memory task. / Al-Qazzaz, Noor Kamal; Md Ali, Sawal Hamid; Ahmad, Siti Anom; Islam, Md. Shabiul; Ariff, Mohd Izhar.

IECBES 2014, Conference Proceedings - 2014 IEEE Conference on Biomedical Engineering and Sciences: "Miri, Where Engineering in Medicine and Biology and Humanity Meet". Institute of Electrical and Electronics Engineers Inc., 2015. p. 214-219 7047488.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Al-Qazzaz, NK, Md Ali, SH, Ahmad, SA, Islam, MS & Ariff, MI 2015, Selection of mother wavelets thresholding methods in denoising multi-channel EEG signals during working memory task. in IECBES 2014, Conference Proceedings - 2014 IEEE Conference on Biomedical Engineering and Sciences: "Miri, Where Engineering in Medicine and Biology and Humanity Meet"., 7047488, Institute of Electrical and Electronics Engineers Inc., pp. 214-219, 3rd IEEE Conference on Biomedical Engineering and Sciences, IECBES 2014, Kuala Lumpur, 8/12/14. https://doi.org/10.1109/IECBES.2014.7047488
Al-Qazzaz NK, Md Ali SH, Ahmad SA, Islam MS, Ariff MI. Selection of mother wavelets thresholding methods in denoising multi-channel EEG signals during working memory task. In IECBES 2014, Conference Proceedings - 2014 IEEE Conference on Biomedical Engineering and Sciences: "Miri, Where Engineering in Medicine and Biology and Humanity Meet". Institute of Electrical and Electronics Engineers Inc. 2015. p. 214-219. 7047488 https://doi.org/10.1109/IECBES.2014.7047488
Al-Qazzaz, Noor Kamal ; Md Ali, Sawal Hamid ; Ahmad, Siti Anom ; Islam, Md. Shabiul ; Ariff, Mohd Izhar. / Selection of mother wavelets thresholding methods in denoising multi-channel EEG signals during working memory task. IECBES 2014, Conference Proceedings - 2014 IEEE Conference on Biomedical Engineering and Sciences: "Miri, Where Engineering in Medicine and Biology and Humanity Meet". Institute of Electrical and Electronics Engineers Inc., 2015. pp. 214-219
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