Deep learning with convolutional neural networks for EEG decoding and visualization
About
PLEASE READ AND CITE THE REVISED VERSION at Human Brain Mapping: http://onlinelibrary.wiley.com/doi/10.1002/hbm.23730/full Code available here: https://github.com/robintibor/braindecode
Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas Dominique Josef Fiederer, Martin Glasstetter, Katharina Eggensperger, Michael Tangermann, Frank Hutter, Wolfram Burgard, Tonio Ball• 2017
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| EEG signal classification | BCIC-IV-2a | Accuracy61.84 | 17 | |
| Seizure Detection | CHSZ | BCA80.38 | 16 | |
| BCI classification | Hinss2021 (inter-session) | Balanced Accuracy48.9 | 16 | |
| BCI classification | Hinss inter-subject 2021 | Balanced Accuracy45.9 | 16 | |
| Seizure Detection | NICU | BCA61.68 | 16 | |
| 4-class EEG classification | HBN (subject-mixed) | Accuracy98.3 | 15 | |
| Driver Drowsiness Detection | Sustained-attention driving dataset Subject 1 | F1 Score81.44 | 15 | |
| Driver Drowsiness Detection | Sustained-attention driving dataset Subject 7 | F1 Score80.79 | 15 | |
| Driver Drowsiness Detection | Sustained-attention driving dataset Subject 3 | F1 Score56.13 | 15 | |
| Driver Drowsiness Detection | Sustained-attention driving dataset Subject 4 | F1-score62.5 | 15 |
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