Multi-joint upper-limb MI dataset from Yi et al. 2025
…ShallowConvNet - **Feature extraction**: ERSP - **Frequency bands**: alpha=[8.0, 13.0] Hz…
- Participants
- 18
- Channels
- 62 (10-10)
- HED
- v8.4.0
- Size
- 20.3 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
100 results for "feature extraction" · page 8 of 10 · ranked by relevance
…ShallowConvNet - **Feature extraction**: ERSP - **Frequency bands**: alpha=[8.0, 13.0] Hz…
…The third instruction refered to the relevant feature they had to pay…
…LDA, DAL - **Feature extraction**: bandpower, CSP, FBCSP - **Frequency bands**: bandpass=[6.0…
…Linear Discriminant Analysis (LDA), shrinkage-LDA - **Feature extraction**: mean amplitudes in 10…
…MDM, Riemannian Feature extraction: Bandpower, Covariance/Riemannian, ICA Frequency bands: alpha=[8…
…RLDA, Regularized Linear Discriminant Analysis, Shrinkage LDA - **Feature extraction**: Event-Related Potentials…
…rLDA, Shrinkage LDA Feature extraction: Mean amplitude in time intervals Frequency bands…
…Shrinkage LDA Feature extraction: CSP, log-variance Frequency bands: mu=[8.0…
…LDA Feature extraction: Mean Amplitudes Cross-Validation ---------------- Method: training-test split Evaluation…
…CNN, Convolutional Neural Network Feature extraction: EEG2Code bitwise decoding Cross-Validation ---------------- Evaluation…