Differential evolution based channel selection algorithm on EEG signal for early detection of vascular dementia among stroke survivors

Noor Kamal Al-Qazzaz, Sawal Hamid Md Ali, Siti Anom Ahmad

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

Abstract

The purpose of this investigation was to identify optimal electroencephalogram (EEG) channels for detection of early onset dementia. EEGs of five vascular dementia (VD) patients, fifteen stroke-related patients with mild cognitive impairment (MCI) and fifteen healthy subjects were recorded during cognitive impairment of working memory (WM) when eyes were closed. This paper demonstrate the combination of several technique for the analyses of multi-channel EEG signals these are Savitzky–Golay (SG) filter which was used in denoising stage, refined composite multiscale dispersion entropy (RCMDE) was used to characterize the EEG dataset. Moreover, Differential evolution-based channel selection algorithm (DEFS_Ch) was performed to identify the EEG channels with greatest efficacy for detecting early stage VD patients. In classification stage, Support vector machine (SVM) classification scheme was used befor and after applying the DEFS_Ch selection algorithm. The results revels the most suitable six channels that enhanced classification performance under cognitive load of WM condition. The DEFS_Ch algorithm raised the SVM classification accuracy from 89.52% to 95.24%, indicating that DEFS_Ch may offer a useful channel selection algorithm for consistent improvement of the identification of VD patients, MCI patients, as well as healthy control subjects.

Original languageEnglish
Title of host publication2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages239-244
Number of pages6
ISBN (Electronic)9781538624715
DOIs
Publication statusPublished - 24 Jan 2019
Event2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Kuching, Malaysia
Duration: 3 Dec 20186 Dec 2018

Publication series

Name2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings

Conference

Conference2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018
CountryMalaysia
CityKuching
Period3/12/186/12/18

Fingerprint

electroencephalography
Vascular Dementia
Electroencephalography
strokes
Survivors
Stroke
impairment
Short-Term Memory
Support vector machines
Healthy Volunteers
Data storage equipment
Entropy
Dementia
Psychological Signal Detection
entropy
Composite materials
filters
composite materials
Cognitive Dysfunction

Keywords

  • Channel selection
  • Differential evolution
  • Dispersion entropy
  • Entropy
  • Savitzky–Golay

ASJC Scopus subject areas

  • Biomedical Engineering
  • Medicine (miscellaneous)
  • Health Informatics
  • Instrumentation

Cite this

Al-Qazzaz, N. K., Md Ali, S. H., & Ahmad, S. A. (2019). Differential evolution based channel selection algorithm on EEG signal for early detection of vascular dementia among stroke survivors. In 2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings (pp. 239-244). [8626684] (2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECBES.2018.8626684

Differential evolution based channel selection algorithm on EEG signal for early detection of vascular dementia among stroke survivors. / Al-Qazzaz, Noor Kamal; Md Ali, Sawal Hamid; Ahmad, Siti Anom.

2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 239-244 8626684 (2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings).

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

Al-Qazzaz, NK, Md Ali, SH & Ahmad, SA 2019, Differential evolution based channel selection algorithm on EEG signal for early detection of vascular dementia among stroke survivors. in 2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings., 8626684, 2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 239-244, 2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018, Kuching, Malaysia, 3/12/18. https://doi.org/10.1109/IECBES.2018.8626684
Al-Qazzaz NK, Md Ali SH, Ahmad SA. Differential evolution based channel selection algorithm on EEG signal for early detection of vascular dementia among stroke survivors. In 2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 239-244. 8626684. (2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings). https://doi.org/10.1109/IECBES.2018.8626684
Al-Qazzaz, Noor Kamal ; Md Ali, Sawal Hamid ; Ahmad, Siti Anom. / Differential evolution based channel selection algorithm on EEG signal for early detection of vascular dementia among stroke survivors. 2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 239-244 (2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings).
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