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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Main Authors: | Wan Masri, Wan Nurshafiqah Nabila, Zulkifli, Nor Zuhayra Amalin, Kamaruzzaman, Muhammad Afiq Ammar, Mohamad Zulkufli, Nurul Liyana |
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Format: | Article |
Language: | English |
Published: |
Kulliyyah of Information and Communication Technology International Islamic University Malaysia
2024
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Subjects: | |
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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