Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface
Agency for Science, Technology and Research · Institute for Infocomm Research
Abstract
In motor imagery-based Brain Computer Interfaces (BCI), discriminative patterns can be extracted from the electroencephalogram (EEG) using the Common Spatial Pattern (CSP) algorithm. However, the performance of this spatial filter depends on the operational frequency band of the EEG. Thus, setting a broad frequency range, or manually selecting a subject-specific frequency range, are commonly used with the CSP algorithm. To address this problem, this paper proposes a novel Filter Bank Common Spatial Pattern (FBCSP) to perform autonomous selection of key temporal-spatial discriminative EEG characteristics. After the EEG measurements have been bandpass-filtered into multiple frequency bands, CSP features are…
Citation impact
- FWCI
- 8.85
- Percentile
- 100%
- References
- 39
Authors
4- KKKai Keng AngCorresponding
Agency for Science, Technology and Research, Institute for Infocomm Research
- ZYZheng Yang Chin
Agency for Science, Technology and Research, Institute for Infocomm Research
- HZHaihong Zhang
Agency for Science, Technology and Research, Institute for Infocomm Research
- CGCuntai Guan
Agency for Science, Technology and Research, Institute for Infocomm Research
Topics & keywords
- Discriminative model
- Computer science
- Pattern recognition (psychology)
- Brain–computer interface
- Artificial intelligence
- Feature selection
- Filter bank
- Motor imagery
- Reduced inequalities