EEG markers for early detection and characterization of vascular dementia during working memory tasks

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

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

2 Citations (Scopus)

Abstract

The aim of the this study was to reveal markers using spectral entropy (SpecEn), sample entropy (SampEn) and Hurst Exponent (H) from the electroencephalography (EEG) background activity of 5 vascular dementia (VaD) patients, 15 stroke-related patients with mild cognitive impairment (MCI) and 15 control healthy subjects during a working memory (WM) task. EEG artifacts were removed using independent component analysis technique and wavelet technique. With ANOVA (p < 0.05), SpecEn was used to test the hypothesis of slowing the EEG signal down in both VaD and MCI compared to control subjects, whereas the SampEn and H features were used to test the hypothesis that the irregularity and complexity in both VaD and MCI were reduced in comparison with control subjects. SampEn and H results in reducing the complexity in VaD and MCI patients. Therefore, SampEn could be the EEG marker that associated with VaD detection whereas H could be the marker for stroke-related MCI identification. EEG could be as a valuable marker for inspecting the background activity in the identification of patients with VaD and stroke-related MCI.

Original languageEnglish
Title of host publicationIECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages347-351
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
impairment
Electroencephalography
markers
Entropy
entropy
Data storage equipment
strokes
Independent component analysis
Analysis of variance (ANOVA)
irregularities
artifacts
exponents

Keywords

  • electroencephalography
  • Hurst exponent
  • ICA-WT
  • mild cognitive impairment
  • sample entropy
  • spectral entropy
  • vascular dementia

ASJC Scopus subject areas

  • Biomedical Engineering
  • Instrumentation

Cite this

Al-Qazzaz, N. K., Md Ali, S. H., Islam, M. S., Ahmad, S. A., & Escudero, J. (2017). EEG markers for early detection and characterization of vascular dementia during working memory tasks. In IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences (pp. 347-351). [7843471] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECBES.2016.7843471

EEG markers for early detection and characterization of vascular dementia during working memory tasks. / Al-Qazzaz, Noor Kamal; Md Ali, Sawal Hamid; Islam, Md. Shabiul; Ahmad, Siti Anom; Escudero, Javier.

IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences. Institute of Electrical and Electronics Engineers Inc., 2017. p. 347-351 7843471.

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

Al-Qazzaz, NK, Md Ali, SH, Islam, MS, Ahmad, SA & Escudero, J 2017, EEG markers for early detection and characterization of vascular dementia during working memory tasks. in IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences., 7843471, Institute of Electrical and Electronics Engineers Inc., pp. 347-351, 2016 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2016, Kuala Lumpur, Malaysia, 4/12/16. https://doi.org/10.1109/IECBES.2016.7843471
Al-Qazzaz NK, Md Ali SH, Islam MS, Ahmad SA, Escudero J. EEG markers for early detection and characterization of vascular dementia during working memory tasks. In IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences. Institute of Electrical and Electronics Engineers Inc. 2017. p. 347-351. 7843471 https://doi.org/10.1109/IECBES.2016.7843471
Al-Qazzaz, Noor Kamal ; Md Ali, Sawal Hamid ; Islam, Md. Shabiul ; Ahmad, Siti Anom ; Escudero, Javier. / EEG markers for early detection and characterization of vascular dementia during working memory tasks. IECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 347-351
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