Mutual information-based selection of optimal spatial–temporal patterns for single-trial EEG-based BCIs

• Published in: Pattern recognition Vol. 45; no. 6; pp. 2137 - 2144
• Main Authors: Ang, Kai Keng, Chin, Zheng Yang, Zhang, Haihong, Guan, Cuntai
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.06.2012
• Subjects: Bayesian classification; Brain-computer interface (BCI); Classification; Electroencephalogram (EEG); Feature selection; Filtering; Frequency bands; Mutual information; Optimization; Pattern recognition; Segments; Spatial filtering; Temporal logic; Brain-computer interface (BCI); Feature selection; Electroencephalogram (EEG); Bayesian classification; Mutual information

The common spatial pattern (CSP) algorithm is effective in decoding the spatial patterns of the corresponding neuronal activities from electroencephalogram (EEG) signal patterns in brain–computer interfaces (BCIs). However, its effectiveness depends on the subject-specific time segment relative to t...