Comparison of the effectiveness of AICA-WT technique in discriminating vascular dementia EEGs
The aim of the present study was to select the optimal denoising technique that helps in discriminating dementia in the early stages and illustrating its degree of severity. In this paper, a comparative analysis of three denoising techniques, which are wavelet (WT), automatic independent component a...
Saved in:
Main Authors: | Al-Qazzaz, Noor Kamal, Md. Ali, Sawal Hamid, Ahmad, Siti Anom |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
IEEE
2018
|
Online Access: | http://psasir.upm.edu.my/id/eprint/36770/1/Comparison%20of%20the%20effectiveness%20of%20AICA-WT%20technique%20in%20discriminating%20vascular%20dementia%20EEGs.pdf http://psasir.upm.edu.my/id/eprint/36770/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
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) -
Role of EEG as biomarker in the early detection and classification of dementia
by: Al-Qazzaz, Noor Kamal, et al.
Published: (2014) -
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) -
Cognitive assessments for the early diagnosis of dementia after stroke
by: Al-Qazzaz, Noor Kamal, et al.
Published: (2014)