Selection of mother wavelet functions for multi-channel EEG signal analysis during a working memory task

Noor Kamal Al-Qazzaz, Sawal Hamid Md Ali, Siti Anom Ahmad, Md. Shabiul Islam, Javier Escudero

Research output: Contribution to journalArticle

38 Citations (Scopus)

Abstract

We performed a comparative study to select the efficient mother wavelet (MWT) basis functions that optimally represent the signal characteristics of the electrical activity of the human brain during a working memory (WM) task recorded through electro-encephalography (EEG). Nineteen EEG electrodes were placed on the scalp following the 10–20 system. These electrodes were then grouped into five recording regions corresponding to the scalp area of the cerebral cortex. Sixty-second WM task data were recorded from ten control subjects. Forty-five MWT basis functions from orthogonal families were investigated. These functions included Daubechies (db1–db20), Symlets (sym1–sym20), and Coiflets (coif1–coif5). Using ANOVA, we determined the MWT basis functions with the most significant differences in the ability of the five scalp regions to maximize their cross-correlation with the EEG signals. The best results were obtained using “sym9” across the five scalp regions. Therefore, the most compatible MWT with the EEG signals should be selected to achieve wavelet denoising, decomposition, reconstruction, and sub-band feature extraction. This study provides a reference of the selection of efficient MWT basis functions.

Original languageEnglish
Pages (from-to)29015-29035
Number of pages21
JournalSensors (Switzerland)
Volume15
Issue number11
DOIs
Publication statusPublished - 17 Nov 2015

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electroencephalography
signal analysis
Signal analysis
Electroencephalography
Scalp
Short-Term Memory
Data storage equipment
Electrodes
Aptitude
cerebral cortex
Human Activities
Cerebral Cortex
electrodes
Analysis of Variance
Analysis of variance (ANOVA)
pattern recognition
cross correlation
brain
Feature extraction
Brain

Keywords

  • Cross-correlation
  • Electroencephalography
  • Memory
  • Multi-resolution analysis
  • Wavelet

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics
  • Analytical Chemistry
  • Biochemistry

Cite this

Selection of mother wavelet functions for multi-channel EEG signal analysis during a working memory task. / Al-Qazzaz, Noor Kamal; Md Ali, Sawal Hamid; Ahmad, Siti Anom; Islam, Md. Shabiul; Escudero, Javier.

In: Sensors (Switzerland), Vol. 15, No. 11, 17.11.2015, p. 29015-29035.

Research output: Contribution to journalArticle

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