Identification of working memory status in children from EEG signal features using discrete wavelet transform

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Identification of working memory status in children from EEG signal features using discrete wavelet transform

The conventional method for assessing the working memory performance of children is time-consuming and potentially inaccurate, especially when dealing with many samples. Therefore, an automated system that can produce swift and accurate results is required. Electroencephalograms (EEG) can be used to...

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Bibliographic Details
Published in:	Telkomnika (Telecommunication Computing Electronics and Control)
Main Author:	Azlan M.H.K.; Mansor W.; Yassin A.I.M.; Abidin N.A.Z.; Azhan M.N.M.; Jahidin A.H.; Rozlan M.F.R.M.; Mahmoodin Z.; Ali M.S.A.M.
Format:	Article
Language:	English
Published:	Universitas Ahmad Dahlan 2025
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213442882&doi=10.12928%2fTELKOMNIKA.v23i1.25551&partnerID=40&md5=77d3d7a55f7ffd0d3ae19fdc563dfd0f

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