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: | , , , |
|---|---|
| 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 |
| _version_ | 1796977108927381504 |
|---|---|
| author | Al-Qazzaz, Noor Kamal Md. Ali, Sawal Hamid Ahmad, Siti Anom Rodriguez, Javier Escudero |
| author_facet | Al-Qazzaz, Noor Kamal Md. Ali, Sawal Hamid Ahmad, Siti Anom Rodriguez, Javier Escudero |
| author_sort | Al-Qazzaz, Noor Kamal |
| collection | UPM |
| description | 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 have EEG artifacts were removed using a wavelet (WT) based method. A t-test (p <; 0.05) was used to test the hypothesis that the irregularity (ApEn and PerEn) in MCIs was reduced in comparison with control subjects. ApEn and PerEn showed reduced irregularity in the EEGs of MCI patients. Therefore, ApEn and PerEn could be used as markers associated with MCI detection and identification and the EEG could be a valuable tool for inspecting the background activity in the identification of patients with MCI. |
| first_indexed | 2024-03-06T09:35:23Z |
| format | Conference or Workshop Item |
| id | upm.eprints-59476 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:35:23Z |
| publishDate | 2017 |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-594762018-03-07T01:09:06Z http://psasir.upm.edu.my/id/eprint/59476/ Stroke-related mild cognitive impairment detection during working memory tasks using EEG signal processing Al-Qazzaz, Noor Kamal Md. Ali, Sawal Hamid Ahmad, Siti Anom Rodriguez, Javier Escudero 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 have EEG artifacts were removed using a wavelet (WT) based method. A t-test (p <; 0.05) was used to test the hypothesis that the irregularity (ApEn and PerEn) in MCIs was reduced in comparison with control subjects. ApEn and PerEn showed reduced irregularity in the EEGs of MCI patients. Therefore, ApEn and PerEn could be used as markers associated with MCI detection and identification and the EEG could be a valuable tool for inspecting the background activity in the identification of patients with MCI. IEEE 2017 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/59476/1/Stroke-related%20mild%20cognitive%20impairment%20detection%20during%20working%20memory%20tasks%20using%20EEG%20signal%20processing.pdf Al-Qazzaz, Noor Kamal and Md. Ali, Sawal Hamid and Ahmad, Siti Anom and Rodriguez, Javier Escudero (2017) Stroke-related mild cognitive impairment detection during working memory tasks using EEG signal processing. In: Fourth International Conference on Advances in Biomedical Engineering (ICABME 2017), 19-21 Oct. 2017, Beirut, Lebanon. . 10.1109/ICABME.2017.8167557 |
| spellingShingle | Al-Qazzaz, Noor Kamal Md. Ali, Sawal Hamid Ahmad, Siti Anom Rodriguez, Javier Escudero Stroke-related mild cognitive impairment detection during working memory tasks using EEG signal processing |
| title | Stroke-related mild cognitive impairment detection during working memory tasks using EEG signal processing |
| title_full | Stroke-related mild cognitive impairment detection during working memory tasks using EEG signal processing |
| title_fullStr | Stroke-related mild cognitive impairment detection during working memory tasks using EEG signal processing |
| title_full_unstemmed | Stroke-related mild cognitive impairment detection during working memory tasks using EEG signal processing |
| title_short | Stroke-related mild cognitive impairment detection during working memory tasks using EEG signal processing |
| title_sort | stroke related mild cognitive impairment detection during working memory tasks using eeg signal processing |
| url | http://psasir.upm.edu.my/id/eprint/59476/1/Stroke-related%20mild%20cognitive%20impairment%20detection%20during%20working%20memory%20tasks%20using%20EEG%20signal%20processing.pdf |
| work_keys_str_mv | AT alqazzaznoorkamal strokerelatedmildcognitiveimpairmentdetectionduringworkingmemorytasksusingeegsignalprocessing AT mdalisawalhamid strokerelatedmildcognitiveimpairmentdetectionduringworkingmemorytasksusingeegsignalprocessing AT ahmadsitianom strokerelatedmildcognitiveimpairmentdetectionduringworkingmemorytasksusingeegsignalprocessing AT rodriguezjavierescudero strokerelatedmildcognitiveimpairmentdetectionduringworkingmemorytasksusingeegsignalprocessing |