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Classification enhancement for post-stroke dementia using fuzzy neighborhood preserving analysis with QR-decomposition

The aim of the present study was to discriminate the electroencephalogram (EEG) of 5 patients with vascular dementia (VaD), 15 patients with stroke-related mild cognitive impairment (MCI), and 15 control normal subjects during a working memory (WM) task. We used independent component analysis (ICA)...

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Bibliographic Details
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/59464/1/Classification%20enhancement%20for%20post-stroke%20dementia%20using%20fuzzy%20neighborhood%20preserving%20analysis%20with%20QR-decomposition.pdf
http://psasir.upm.edu.my/id/eprint/59464/
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http://psasir.upm.edu.my/id/eprint/59464/1/Classification%20enhancement%20for%20post-stroke%20dementia%20using%20fuzzy%20neighborhood%20preserving%20analysis%20with%20QR-decomposition.pdf
http://psasir.upm.edu.my/id/eprint/59464/

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