Compatibility of mother wavelet functions with the electroencephalographic signal

Mahmoud I. Al-Kadi, Md. Mamun Ibne Reaz, M. A. Mohd Ali

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

12 Citations (Scopus)

Abstract

Electroencephalographic EEG gives an electrical representation biosignals to determine the variation in the activity of the human brain related to distinct emotions. EEG signal acquires many kind of noise when it's travel though different layer of brain. The wavelet transform WT are used to remove a various kind of artifacts such as inherent noise, motion artefact, and ocular artifact. With the suitable choice of wavelet level and smoothing method, it is possible to remove the artifacts noise with a view to verify and analyze the EEG signal. Mother wavelet is particularly effective for describing a various sides of nonstationary signals such as the discontinuities and repeated patterns of the recorded EEG signal. In this research, one-hundred and thirteen potential mother wavelet functions (Daubechies, Coiflets, Biorthogonal, Reverse Biorthogonal, Discrete Meyer and Symlets) are selected and investigate to find the most similar function with EEG signals. In this paper, the mother wavelet that most compatible with EEG signal has been founded by determines the minimum mean square error (MSE) and the larger signal-to-noise ratio (SNR). Both values showed that the compatibility of the mother wavelet Symlets (sym24) for denoising is the best by examining 57 different signals.

Original languageEnglish
Title of host publication2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012
Pages113-117
Number of pages5
DOIs
Publication statusPublished - 2012
Event2012 2nd IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012 - Langkawi
Duration: 17 Dec 201219 Dec 2012

Other

Other2012 2nd IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012
CityLangkawi
Period17/12/1219/12/12

Fingerprint

Electroencephalography
Brain
Mean square error
Wavelet transforms
Signal to noise ratio

Keywords

  • decomposition
  • mean square error
  • Mother wavelet
  • signal to noise ratio

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Al-Kadi, M. I., Ibne Reaz, M. M., & Mohd Ali, M. A. (2012). Compatibility of mother wavelet functions with the electroencephalographic signal. In 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012 (pp. 113-117). [6498032] https://doi.org/10.1109/IECBES.2012.6498032

Compatibility of mother wavelet functions with the electroencephalographic signal. / Al-Kadi, Mahmoud I.; Ibne Reaz, Md. Mamun; Mohd Ali, M. A.

2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012. 2012. p. 113-117 6498032.

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

Al-Kadi, MI, Ibne Reaz, MM & Mohd Ali, MA 2012, Compatibility of mother wavelet functions with the electroencephalographic signal. in 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012., 6498032, pp. 113-117, 2012 2nd IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012, Langkawi, 17/12/12. https://doi.org/10.1109/IECBES.2012.6498032
Al-Kadi MI, Ibne Reaz MM, Mohd Ali MA. Compatibility of mother wavelet functions with the electroencephalographic signal. In 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012. 2012. p. 113-117. 6498032 https://doi.org/10.1109/IECBES.2012.6498032
Al-Kadi, Mahmoud I. ; Ibne Reaz, Md. Mamun ; Mohd Ali, M. A. / Compatibility of mother wavelet functions with the electroencephalographic signal. 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012. 2012. pp. 113-117
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