Chen2017 – Single-flicker online SSVEP BCI dataset
…LDA - **Feature extraction**: CCA - **Frequency bands**: bandpass=[1.0, 80.0] Hz…
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 52
- HED
- v8.4.0
- Size
- 10.9 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
100 results for "feature extraction" · page 6 of 10 · ranked by relevance
…LDA - **Feature extraction**: CCA - **Frequency bands**: bandpass=[1.0, 80.0] Hz…
…HDCA - **Feature extraction**: SIM, CSP, TRCA, PCA - **Frequency bands**: bandpass=[2.0…
…HDCA - **Feature extraction**: HDCA - **Frequency bands**: ERP_dominant=[0.0, 10.0…
…CSP+LDA, FBCSP+SVM, EEGNet, OTFWRGD - **Feature extraction**: CSP, FBCSP, deep_learning…
…LDA - **Feature extraction**: bandpower, temporal features - **Frequency bands**: mu=[8, 12] Hz…
…xDAWN, Riemannian - **Feature extraction**: Covariance/Riemannian, xDAWN - **Spatial filters**: xDAWN ## Performance (Original…
…SVM - **Feature extraction**: CSP - **Frequency bands**: classification=[8.0, 30.0] Hz…
…LDA, SVM, Neural Network, Naive Bayes, RBF Neural Network - **Feature extraction**: CSP…
…EEGNet, CSP+KNN - **Feature extraction**: CSP, deep_learning - **Frequency bands**: bandpass=[5…
…Mapping the Dynamics of Visual Feature Coding: Insights into Perception and Integration…