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Estimating distribution shifts for predicting cross-subject generalization in electroencephalography-based mental workload assessment
Assessment of mental workload in real-world conditions is key to ensuring the performance of workers executing tasks that demand sustained attention. Previous literature has employed electroencephalography (EEG) to this end despite having observed that EEG correlates of mental workload vary across s...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576998/ https://www.ncbi.nlm.nih.gov/pubmed/36267659 http://dx.doi.org/10.3389/frai.2022.992732 |