- Title
- EEG-based assessment of long-term vigilance and lapses of attention using a user-centered frequency-tagging approach
- Creators
- S. Ladouce (Corresponding Author) - Allen Institute for Brain ScienceJ. J. Torre Tresols - Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO)K. Le Goff - Airbus Operations SAS, Human Factors & Ergonomics in Design, Toulouse, FranceF. Dehais - Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO)
- Publication Details
- Journal of neural engineering, v 22(3), 036018
- Publisher
- IOP Publishing
- Grant note
- AXA Research Fund (http://data.elsevier.com/vocabulary/SciValFunders/501100001961) Artificial and Natural Intelligence Toulouse Institute (http://data.elsevier.com/vocabulary/SciValFunders/100030708) AXA Research Fund (501100001961) European Commission (http://data.elsevier.com/vocabulary/SciValFunders/501100000780) Direction générale de l'aviation civile (http://data.elsevier.com/vocabulary/SciValFunders/100020995)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering and Science
- Web of Science ID
- WOS:001493134600001
- Scopus ID
- 2-s2.0-105005746173
- Other Identifier
- 991022197409504721
Journal article
EEG-based assessment of long-term vigilance and lapses of attention using a user-centered frequency-tagging approach
Journal of neural engineering, v 22(3), 036018
01 Jun 2025
PMID: 40354807
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Metrics
1 Record Views
Details
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
Source: SDGs in the Output
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Industry collaboration
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Biomedical
- Neurosciences