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...
| Published in: | Telkomnika (Telecommunication Computing Electronics and Control) |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Universitas Ahmad Dahlan
2025
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213442882&doi=10.12928%2fTELKOMNIKA.v23i1.25551&partnerID=40&md5=77d3d7a55f7ffd0d3ae19fdc563dfd0f |