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

• 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
• Subjects: QA75 Electronic computers. Computer science
• 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
• Institution: Universiti Islam Antarabangsa Malaysia

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...