Cognitive State Classification Using Convolutional Neural Networks on Gamma-Band EEG Signals
This study introduces a novel methodology for classifying cognitive states using convolutional neural networks (CNNs) on electroencephalography (EEG) data of 41 students, aimed at streamlining the traditionally labor-intensive analysis procedures utilized in EEGLAB. Concentrating on the 30–40 Hz fre...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2024-09-01
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| Schriftenreihe: | Applied Sciences |
| Schlagworte: | |
| Online-Zugang: | https://www.mdpi.com/2076-3417/14/18/8380 |
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