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...

書誌詳細
出版年:	Telkomnika (Telecommunication Computing Electronics and Control)
第一著者:	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.
フォーマット:	論文
言語:	English
出版事項:	Universitas Ahmad Dahlan 2025
オンライン･アクセス:	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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