Shin et al. 2017 (Experiment A) — Open Access Dataset for EEG+NIRS Single-Trial Classification
…Shrinkage LDA Feature extraction: CSP, log-variance Frequency bands: mu=[8.0…
- Participants
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…Shrinkage LDA Feature extraction: CSP, log-variance Frequency bands: mu=[8.0…
…markings as indeces with additional features of this event described in the…
…Laplacian (C3, C4 for feature extraction) - **Notes**: The raw signals were recorded…
…These "block types" were used to counterbalance the effect of other features…
…Key Features: - Subjects: 20 C57BL/6 mice divided into three experimental cohorts…
…CNN, Convolutional Neural Network Feature extraction: EEG2Code bitwise decoding Cross-Validation ---------------- Evaluation…
…A subset of the data has been featured in [1]. Summary ------------- iEEG…
…MPF features + LSTM ## Key Findings - **Predictive signals**: sEMG precedes movement by tens…
…False ## Signal Processing - **Feature extraction**: ERS - **Frequency bands**: alpha=[8, 12] Hz…
…be captured by discrete geometric features or by more advanced transformer models…