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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...
में बचाया:
| में प्रकाशित: | Front Hum Neurosci |
|---|---|
| मुख्य लेखकों: | , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
Frontiers Media S.A.
2017
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| विषय: | |
| ऑनलाइन पहुंच: | 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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