Scipediacontent: Scipediacontent moved page Draft Content 876765776 to Imbert et al 2014a

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Scipediacontent moved page Draft Content 876765776 to Imbert et al 2014a

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== Abstract ==

The aim of this work was to analyze the possibility to apply a neuroelectrical cognitive metrics for the evaluation of the training level of subjects during the learning of a task employed by Air Traffic Controllers (ATCos). In particular, the Electroencephalogram (EEG), the Electrocardiogram (ECG) and the Electrooculogram (EOG) signals were gathered from a group of students during the execution of an Air Traffic Management (ATM) task, proposed at three different levels of difficulty. The neuroelectrical results were compared with the subjective perception of the task difficulty obtained by the NASA-TLX questionnaires. From these analyses, we suggest that the integration of information derived from the power spectral density (PSD) of the EEG signals, the heart rate (HR) and the eye-blink rate (EBR) return important quantitative information about the training level of the subjects. In particular, by focusing the analysis on the direct and inverse correlation of the frontal PSD theta (4-7 (Hz)) and HR, and of the parietal PSD alpha (10-12 (Hz)) and EBR, respectively, with the degree of mental and emotive engagement, it is possible to obtain useful information about the training improvement across the training sessions.

== Original document ==

The different versions of the original document can be found in:

* [https://hal-enac.archives-ouvertes.fr/hal-00998940 https://hal-enac.archives-ouvertes.fr/hal-00998940]

* [http://xplorestaging.ieee.org/ielx7/6923026/6943513/06944255.pdf?arnumber=6944255 http://xplorestaging.ieee.org/ielx7/6923026/6943513/06944255.pdf?arnumber=6944255],
: [http://dx.doi.org/10.1109/embc.2014.6944255 http://dx.doi.org/10.1109/embc.2014.6944255]

* [https://moh-it.pure.elsevier.com/en/publications/a-neurophysiological-training-evaluation-metric-for-air-traffic-m-2 https://moh-it.pure.elsevier.com/en/publications/a-neurophysiological-training-evaluation-metric-for-air-traffic-m-2],
: [https://www.ncbi.nlm.nih.gov/pubmed/25570623 https://www.ncbi.nlm.nih.gov/pubmed/25570623],
: [https://dblp.uni-trier.de/db/conf/embc/embc2014.html#BorghiniAFGPNIG14 https://dblp.uni-trier.de/db/conf/embc/embc2014.html#BorghiniAFGPNIG14],
: [https://ieeexplore.ieee.org/document/6944255 https://ieeexplore.ieee.org/document/6944255],
: [https://hal-enac.archives-ouvertes.fr/hal-00998940 https://hal-enac.archives-ouvertes.fr/hal-00998940],
: [https://doi.org/10.1109/EMBC.2014.6944255 https://doi.org/10.1109/EMBC.2014.6944255],
: [http://ieeexplore.ieee.org/document/6944255 http://ieeexplore.ieee.org/document/6944255],
: [https://academic.microsoft.com/#/detail/2322137606 https://academic.microsoft.com/#/detail/2322137606]

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Imbert et al 2014a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 876765776 to Imbert et al 2014a

Scipediacontent: Created page with " == Abstract == The aim of this work was to analyze the possibility to apply a neuroelectrical cognitive metrics for the evaluation of the training level of subjects during t..."