Advancing passive BCIs: a feasibility study of two temporal derivative features and effect size-based feature selection in continuous online EEG-based machine error detection

Yanzhao Pan, Thorsten O. Zander, Marius Klug

Open source

DOI
10.3389/fnrgo.2024.1346791
Published
2024-05-15
Container
Frontiers in Neuroergonomics
Publisher
Frontiers Media SA
Open access
unknown

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BibTeX

@article{allodium:10.3389/fnrgo.2024.1346791,
  title = {Advancing passive BCIs: a feasibility study of two temporal derivative features and effect size-based feature selection in continuous online EEG-based machine error detection},
  author = {Yanzhao Pan and Thorsten O. Zander and Marius Klug},
  year = {2024},
  journal = {Frontiers in Neuroergonomics},
  doi = {10.3389/fnrgo.2024.1346791},
  url = {https://doi.org/10.3389/fnrgo.2024.1346791}
}

RIS

TY  - JOUR
TI  - Advancing passive BCIs: a feasibility study of two temporal derivative features and effect size-based feature selection in continuous online EEG-based machine error detection
AU  - Yanzhao Pan
AU  - Thorsten O. Zander
AU  - Marius Klug
PY  - 2024
JO  - Frontiers in Neuroergonomics
DO  - 10.3389/fnrgo.2024.1346791
UR  - https://doi.org/10.3389/fnrgo.2024.1346791
ER  - 

APA

Pan, Y., Zander, T. O., & Klug, M. (2024). Advancing passive BCIs: a feasibility study of two temporal derivative features and effect size-based feature selection in continuous online EEG-based machine error detection. Frontiers in Neuroergonomics. https://doi.org/10.3389/fnrgo.2024.1346791

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