P300 dataset from initial spot study
…asynchrony (SOA)—that maximizes the classification performance of a regularized linear discriminant…
- Participants
- 13
- Citations
- 2
- HED
- v8.4.0
- Size
- 2.82 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "biomarker classification" · page 7 of 10 · ranked by relevance
…asynchrony (SOA)—that maximizes the classification performance of a regularized linear discriminant…
[: - Offline CER: >90% classification accuracy on held-out participants - Online…
…feature extraction, feature selection and classification. The dataset consists of 256-channel…
…Two classification approaches: (1) general binary classifier and (2) instrument-specific classifiers…
…The study includes offline 5-class classification and online proof-of-concept…
…negative emotions) and 28.9% for seven-category emotion classification, both significantly…
[—that maximizes the classification performance of a regularized linear discriminant…
…a simulated online BCI experiment. Classification accuracy and information transfer rate (ITR…