Stroke-related mild cognitive impairment detection during working memory tasks using EEG signal processing
The aim of the present study was to reveal markers from the electroencephalography (EEG) using approximation entropy (ApEn) and permutation entropy (PerEn). EEGs' of 15 stroke-related patients with mild cognitive impairment (MCI) and 15 control healthy subjects during a working memory (WM) task...
Main Authors: | Al-Qazzaz, Noor Kamal, Md. Ali, Sawal Hamid, Ahmad, Siti Anom, Rodriguez, Javier Escudero |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
IEEE
2017
|
Online Access: | http://psasir.upm.edu.my/id/eprint/59476/1/Stroke-related%20mild%20cognitive%20impairment%20detection%20during%20working%20memory%20tasks%20using%20EEG%20signal%20processing.pdf |
Similar Items
-
Discrimination of stroke-related mild cognitive impairment and vascular dementia using EEG signal analysis
by: Al-Qazzaz, Noor Kamal, et al.
Published: (2018) -
EEG markers for early detection and characterization of vascular dementia during working memory tasks
by: Al-Qazzaz, Noor Kamal, et al.
Published: (2016) -
Automatic artifact removal in EEG of normal and demented individuals using ICA-WT during working memory tasks
by: Al-Qazzaz, Noor Kamal, et al.
Published: (2017) -
Selection of mother wavelet functions for multi-channel EEG signal analysis during a working memory task
by: Al-Qazzaz, Noor Kamal, et al.
Published: (2015) -
Automatic Artifact Removal in EEG of Normal and Demented Individuals Using ICA–WT during Working Memory Tasks
by: Noor Kamal Al-Qazzaz, et al.
Published: (2017-06-01)