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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	Telkomnika (Telecommunication Computing Electronics and Control)
المؤلف الرئيسي:	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.
التنسيق:	مقال
اللغة:	English
منشور في:	Universitas Ahmad Dahlan 2025
الوصول للمادة أونلاين:	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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