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The goal is to identify neuro-physiological signatures at several levels of mental workload during the realisation of tasks, performed by all the subjects.
In parallel, there will be a methodological work consisting to develop the classification algorithms, predictives of these levels of mental workload in real time, in purpose to implement a passive brain-machine interface in the best interest of operators that accomplish complex tasks.
Mesures of electro-physiological activity will be recorded in order to approve states of charge in addition to behavioral performances.
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19 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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