Channel component correlation analysis for multi-channel EEG feature component extraction
The CCCA method proposed in this study has shown excellent performance in the feature component extraction of multi-channel EEG and could be considered for practical engineering applications.
Authors
- Chenghang Du (ORCID: https://orcid.org/0000-0003-4749-539X)
- Qi Luo (ORCID: https://orcid.org/0000-0001-8965-688X)
- Wenqiang Yan (ORCID: https://orcid.org/0000-0002-9878-3730)
Institutions
- Shenyang Institute of Automation (CN)
- Chinese Academy of Sciences (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2025-04-02
- DOI
- https://doi.org/10.3389/fnins.2025.1522964
- Citations
- 1
- Primary Topic
- Blind Source Separation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.49
Funders
- National Natural Science Foundation of China
- State Key Laboratory of Robotics