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Multisubject “Learning” for Mental Workload Classification Using Concurrent EEG, fNIRS, and Physiological Measures
An accurate measure of mental workload level has diverse neuroergonomic applications ranging from brain computer interfacing to improving the efficiency of human operators. In this study, we integrated electroencephalogram (EEG), functional near-infrared spectroscopy (fNIRS), and physiological measu...
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| Gepubliceerd in: | Front Hum Neurosci |
|---|---|
| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Frontiers Media S.A.
2017
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5529418/ https://ncbi.nlm.nih.gov/pubmed/28798675 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2017.00389 |
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