A study on EEG signals during eye-closed and eye-open using discrete wavelet transform

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

2 Citations (Scopus)

Abstract

Analysis of the electroencephalogram (EEG) signal is a popular method for brain activity tracing. However, a precise experiment design is required in ensuring accuracy and reliability of the recorded signals. This includes the eye state whether to be in a closed or open position based on the experiment requirement. In this study, we have demonstrated significant difference between EC and EO in terms of sub-band frequencies using discrete wavelet transform (DWT). The average percentage energy for DWT coefficients related to delta and theta waves are significantly decreased while interestingly, the percentage energy for DWT coefficients related to alpha waves increased significantly from EO to EC. Meanwhile, there is no significant change in the DWT coefficients related to beta and gamma waves. The significant change is determined when p-value is less than 0.01 for an independent t-Test. We conclude that this study has proven that it is important to maintain specific eye states during EEG recording to avoid misinterpretation on the analysis of the brain activities.

Original languageEnglish
Title of host publicationIECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages674-678
Number of pages5
ISBN (Electronic)9781467377911
DOIs
Publication statusPublished - 3 Feb 2017
Event2016 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2016 - Kuala Lumpur, Malaysia
Duration: 4 Dec 20168 Dec 2016

Other

Other2016 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2016
CountryMalaysia
CityKuala Lumpur
Period4/12/168/12/16

Fingerprint

electroencephalography
Discrete wavelet transforms
Electroencephalography
wavelet analysis
brain
Brain
coefficients
experiment design
tracing
Frequency bands
Experiments
recording
requirements
energy

Keywords

  • DWT
  • EEG

ASJC Scopus subject areas

  • Biomedical Engineering
  • Instrumentation

Cite this

Fathillah, M. S., Jaafar, R., Chell, K., & Remli, R. (2017). A study on EEG signals during eye-closed and eye-open using discrete wavelet transform. In IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences (pp. 674-678). [7843535] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECBES.2016.7843535

A study on EEG signals during eye-closed and eye-open using discrete wavelet transform. / Fathillah, Mohd Syakir; Jaafar, Rosmina; Chell, Kalaivani; Remli, Rabani.

IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences. Institute of Electrical and Electronics Engineers Inc., 2017. p. 674-678 7843535.

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

Fathillah, MS, Jaafar, R, Chell, K & Remli, R 2017, A study on EEG signals during eye-closed and eye-open using discrete wavelet transform. in IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences., 7843535, Institute of Electrical and Electronics Engineers Inc., pp. 674-678, 2016 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2016, Kuala Lumpur, Malaysia, 4/12/16. https://doi.org/10.1109/IECBES.2016.7843535
Fathillah MS, Jaafar R, Chell K, Remli R. A study on EEG signals during eye-closed and eye-open using discrete wavelet transform. In IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences. Institute of Electrical and Electronics Engineers Inc. 2017. p. 674-678. 7843535 https://doi.org/10.1109/IECBES.2016.7843535
Fathillah, Mohd Syakir ; Jaafar, Rosmina ; Chell, Kalaivani ; Remli, Rabani. / A study on EEG signals during eye-closed and eye-open using discrete wavelet transform. IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 674-678
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