A new common spatial pattern-based unified channels algorithm for driver’s fatigue EEG signals classification

• Published in: Neural computing & applications Vol. 35; no. 2; pp. 1423 - 1445
• Main Authors: Zeng, Hong, Zakaria, Wael
• Format: Journal Article
• Language: English
• Published: London Springer London 01.01.2023; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Channels; Classification; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Science; Customization; Data Mining and Knowledge Discovery; Electroencephalography; Feature extraction; Image Processing and Computer Vision; Original Article; Probability and Statistics in Computer Science; Signal classification; Unified channels selection; Cross-subjects; Common spatial pattern; Channels selection; Subject-by-subject

The common spatial pattern (CSP) algorithm is efficient and accurate for channels selection and features extraction for electroencephalogram (EEG) signals classification. The CSP algorithm is usually applied on a subject-by-subject basis by measuring only intra-subject variations for selecting the m...