Correlation-based common spatial pattern (CCSP): A novel extension of CSP for classification of motor imagery signal
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...
Main Authors: | Khatereh Darvish ghanbar, Tohid Yousefi Rezaii, Ali Farzamnia, Ismail Saad |
---|---|
Format: | Article |
Language: | English English |
Published: |
Public Library Science
2021
|
Subjects: | |
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 |
Similar Items
-
Feature weighting and regularization of common spatial patterns in EEG-based motor imagery BCI
by: Mishuhina, Vasilisa, et al.
Published: (2020) -
Channel selection for common spatial pattern Based on energy calculation of motor imagery EEG signal
by: Hilman, Fauzi, et al.
Published: (2017) -
Parallel spatial-temporal self-attention CNN-based motor imagery classification for BCI
by: Liu, Xiuling, et al.
Published: (2021) -
Motor imagery classification based on deep learning
by: Geng, Zhiheng
Published: (2023) -
Five-Class SSVEP Response Detection using Common Spatial Pattern (CSP)-SVM Approach
by: Rashid, Mamunur, et al.
Published: (2020)