Correlation-based common spatial pattern (CCSP): A novel extension of CSP for classification of motor imagery signal

• Main Authors: Khatereh Darvish ghanbar, Tohid Yousefi Rezaii, Ali Farzamnia, Ismail Saad
• Format: Article
• Language: English; English
• Published: Public Library Science 2021
• Subjects: QA75.5-76.95 Electronic computers. Computer science
• Online Access: https://eprints.ums.edu.my/id/eprint/32837/1/Correlation-based%20common%20spatial%20pattern%20.pdf; https://eprints.ums.edu.my/id/eprint/32837/2/Correlation-based%20common%20spatial%20pattern%201.pdf; https://eprints.ums.edu.my/id/eprint/32837/; https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0248511; https://doi.org/10.1371/journal.pone.0248511

Common spatial pattern (CSP) is shown to be an effective pre-processing algorithm in order to discriminate different classes of motor-based EEG signals by obtaining suitable spatial filters. The performance of these filters can be improved by regularized CSP, in which available prior information is...