Classification of single-trial motor imagery EEG by complexity regularization

• Published in: Neural computing & applications Vol. 31; no. 6; pp. 1959 - 1965
• Main Authors: Li, Lili, Xu, Guanghua, Xie, Jun, Li, Min
• Format: Journal Article
• Language: English
• Published: London Springer London 01.06.2019; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Classification; Complexity; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Science; Data Mining and Knowledge Discovery; Electroencephalography; Frequencies; Human-computer interface; Image classification; Image Processing and Computer Vision; Noise sensitivity; Original Article; People with disabilities; Probability and Statistics in Computer Science; Regularization; Rehabilitation; Single-trial EEG; Motor imagery; Brain computer interface; Complexity

Brain computer interface based on electroencephalogram is a popular way to enable communication between brain and output devices helping elderly and disabled people and in rehabilitation. In practice, the effectiveness of brain computer interface has a strong relationship with the classification acc...