EEG-based sleep deprivation classification: a performance analysis of channel selection on classifier accuracy

This study analyses the effect of electroencephalogram (EEG) channel selection on the classification accuracy of sleep deprivation using four distinct classifiers: Random Forest (RF), k-Nearest Neighbours (k-NN), Support Vector Machine (SVM), and Artificial Neural Network (ANN). In this study, the E...

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Bibliographic Details
Main Authors: Wan Masri, Wan Nurshafiqah Nabila, Zulkifli, Nor Zuhayra Amalin, Kamaruzzaman, Muhammad Afiq Ammar, Mohamad Zulkufli, Nurul Liyana
Format: Article
Language:English
Published: Kulliyyah of Information and Communication Technology International Islamic University Malaysia 2024
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Online Access:http://irep.iium.edu.my/115812/1/115812_EEG-based%20Sleep%20Deprivation.pdf
http://irep.iium.edu.my/115812/
https://journals.iium.edu.my/kict/index.php/IJPCC/article/view/486
https://doi.org/10.31436/ijpcc.v10i2.486
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