EEG-based assessment of long-term vigilance and lapses of attention using a user-centered frequency-tagging approach

S Ladouce, J J Torre Tresols, K Le Goff, F Dehais

Open source

DOI: 10.1088/1741-2552/add771
Published: 2025-05-20
Container: Journal of Neural Engineering
Publisher: IOP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/1741-2552/add771,
  title = {EEG-based assessment of long-term vigilance and lapses of attention using a user-centered frequency-tagging approach},
  author = {S Ladouce and J J Torre Tresols and K Le Goff and F Dehais},
  year = {2025},
  journal = {Journal of Neural Engineering},
  doi = {10.1088/1741-2552/add771},
  url = {https://doi.org/10.1088/1741-2552/add771}
}

RIS

TY  - JOUR
TI  - EEG-based assessment of long-term vigilance and lapses of attention using a user-centered frequency-tagging approach
AU  - S Ladouce
AU  - J J Torre Tresols
AU  - K Le Goff
AU  - F Dehais
PY  - 2025
JO  - Journal of Neural Engineering
DO  - 10.1088/1741-2552/add771
UR  - https://doi.org/10.1088/1741-2552/add771
ER  -

APA

Ladouce, S., Tresols, J. J. T., Goff, K. L., & Dehais, F. (2025). EEG-based assessment of long-term vigilance and lapses of attention using a user-centered frequency-tagging approach. Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/add771

Source records

crossref · retrieved 2026-09-27T02:06:15.094Z