EEG wavelet spectral analysis during a working memory tasks in stroke-related mild cognitive impairment patients

Noor Kamal Al-Qazzaz, Sawal Hamid Md Ali, Md. Shabiul Islam, S. A. Ahmad, J. Escudero

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

4 Citations (Scopus)

Abstract

The aim of this study was to analyse the electroencephalography (EEG) background activity of 10 strokerelated patients with mild cognitive impairment (MCI) using spectral entropy (SpecEn) and spectral analysis. These spectral features were used to test the hypothesis that the EEG dominant frequencies slowdown in MCI in comparison with 10 agematch control subjects. Nineteen channels were recorded during working memory and were grouped into 5 recording regions corresponding to scalp areas of the cerebral cortex. EEG artifacts were removed using wavelet analysis (WT). The SpecEn analysis of the EEG data suggested a broad and flat spectrum in the normal EEG. The relative powers (RP) in delta (δRP), theta (θRP), alpha (αRP), beta (βRP), and gamma (γRP) were calculated. SpecEn was significantly lower in stroke-related MCI patients at parietal, occipital and central regions (p-value <0.05, Student’s t-test). Moreover, the other significant differences can be observed in increasing the δRP, θRP and γRP and decreasing the αRP and βRP of the strokerelated MCI group in all regions (p-value <0.05, Student’s ttest). It can be concluded that the SpecEn and spectral analysis are useful tool to inspect the slowing in the EEG signals in post-stroke MCI patients’ and the healthy controls’ EEG.

Original languageEnglish
Title of host publicationIFMBE Proceedings
PublisherSpringer Verlag
Pages82-85
Number of pages4
Volume56
ISBN (Print)9789811002656
DOIs
Publication statusPublished - 2016
EventInternational Conference for Innovation in Biomedical Engineering and Life Sciences, ICIBEL 2015 - Putrajaya, Malaysia
Duration: 6 Dec 20158 Dec 2015

Other

OtherInternational Conference for Innovation in Biomedical Engineering and Life Sciences, ICIBEL 2015
CountryMalaysia
CityPutrajaya
Period6/12/158/12/15

Fingerprint

Electroencephalography
Spectrum analysis
Data storage equipment
Entropy
Students
Wavelet analysis

Keywords

  • Electroencephalography
  • Mild cognitive impairment
  • Relative power
  • Spectral entropy
  • Wavelet

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

Cite this

Al-Qazzaz, N. K., Md Ali, S. H., Islam, M. S., Ahmad, S. A., & Escudero, J. (2016). EEG wavelet spectral analysis during a working memory tasks in stroke-related mild cognitive impairment patients. In IFMBE Proceedings (Vol. 56, pp. 82-85). Springer Verlag. https://doi.org/10.1007/978-981-10-0266-3_17

EEG wavelet spectral analysis during a working memory tasks in stroke-related mild cognitive impairment patients. / Al-Qazzaz, Noor Kamal; Md Ali, Sawal Hamid; Islam, Md. Shabiul; Ahmad, S. A.; Escudero, J.

IFMBE Proceedings. Vol. 56 Springer Verlag, 2016. p. 82-85.

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

Al-Qazzaz, NK, Md Ali, SH, Islam, MS, Ahmad, SA & Escudero, J 2016, EEG wavelet spectral analysis during a working memory tasks in stroke-related mild cognitive impairment patients. in IFMBE Proceedings. vol. 56, Springer Verlag, pp. 82-85, International Conference for Innovation in Biomedical Engineering and Life Sciences, ICIBEL 2015, Putrajaya, Malaysia, 6/12/15. https://doi.org/10.1007/978-981-10-0266-3_17
Al-Qazzaz, Noor Kamal ; Md Ali, Sawal Hamid ; Islam, Md. Shabiul ; Ahmad, S. A. ; Escudero, J. / EEG wavelet spectral analysis during a working memory tasks in stroke-related mild cognitive impairment patients. IFMBE Proceedings. Vol. 56 Springer Verlag, 2016. pp. 82-85
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