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Stress Assessment by Combining Neurophysiological Signals and Radio Communications of Air Traffic Controllers

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dc.contributor.authorBorghini, Gianluca
dc.contributor.authorBandini, Andrea
dc.contributor.authorOrlandi, Silvia
dc.contributor.authorDi Flumeri, Gianluca
dc.contributor.authorArico, Pietro
dc.contributor.authorSciaraffa, Nicolina
dc.contributor.authorRonca, Vincenzo
dc.contributor.authorBonelli, Stefano
dc.contributor.authorRagosta, Martina
dc.contributor.authorTomasello, Paola
dc.contributor.authorTurhan, Ugur
dc.contributor.authorAcikel, Birsen
dc.contributor.authorOzan, Ali
dc.contributor.authorImbert, Jean Paul
dc.contributor.authorGranger, Geraud
dc.contributor.authorBenhacene, Railane
dc.contributor.authorDrogoul, Fabrice
dc.contributor.authorBabiloni, Fabio
dc.date.accessioned2026-01-04T14:18:39Z
dc.date.issued2020-07-01
dc.description.abstractAir Traffic Control (ATC) has been classified as the fourth most stressful job. In this regard, sixteen controllers were asked to perform ecological ATC simulation during which behavioral (Radio Communications with pilots - RCs), subjective (stress perception) and neurophysiological signals (brain activity and skin conductance - SC) were collected. All the considered parameters reported significant changes under high stress conditions. In particular, the theta, alpha, and beta brain rhythms increased significantly (all p<0.05) all over the brain areas, and both the SC components exhibited higher values (p<0.01). Additionally, the number of speech under high stress decreased significantly (p<10-4) while both the mean and median value of the F0 component of the RC increased (p<0.01). The results can be employed to objectively measure and track the controller's stress level while dealing with ATC activities to better tailoring the workshift and maintaining high safety levels.
dc.description.urihttps://doi.org/10.1109/embc44109.2020.9175958
dc.description.urihttps://pubmed.ncbi.nlm.nih.gov/33018118
dc.description.urihttps://dx.doi.org/10.1109/embc44109.2020.9175958
dc.description.urihttps://hdl.handle.net/11573/1487754
dc.description.urihttps://doi.org/10.1109/EMBC44109.2020.9175958
dc.description.urihttps://hdl.handle.net/11382/552716
dc.description.urihttps://hdl.handle.net/11585/874968
dc.description.urihttp://dx.doi.org/10.1109/embc44109.2020.9175958
dc.identifier.doi10.1109/embc44109.2020.9175958
dc.identifier.endpage854
dc.identifier.openairedoi_dedup___::13d92f00aa32a5b4fad251adb48b75e7
dc.identifier.orcid0000-0001-8560-5671
dc.identifier.orcid0000-0002-3509-2887
dc.identifier.orcid0000-0003-4426-051x
dc.identifier.orcid0000-0002-3831-6620
dc.identifier.orcid0000-0002-3380-0181
dc.identifier.orcid0000-0002-7174-6331
dc.identifier.orcid0000-0002-4962-176x
dc.identifier.pubmed33018118
dc.identifier.scopus2-s2.0-85091047880
dc.identifier.startpage851
dc.identifier.urihttps://hdl.handle.net/20.500.12597/38088
dc.publisherIEEE
dc.relation.ispartof2020 42nd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)
dc.rightsRESTRICTED
dc.subjectbeta rhythm
dc.subjectbrain
dc.subjecthumans
dc.subjectspeech
dc.subjectaviation
dc.subjectneurophysiology
dc.subjectBrain
dc.subjectHumans
dc.subjectNeurophysiology
dc.subjectSpeech
dc.subjectBeta Rhythm
dc.subjectBrain
dc.subjectHumans
dc.subjectSpeech
dc.subjectAviation
dc.subjectNeurophysiology
dc.subjectAviation
dc.subjectBeta Rhythm
dc.subject.sdg9. Industry and infrastructure
dc.titleStress Assessment by Combining Neurophysiological Signals and Radio Communications of Air Traffic Controllers
dc.typeConference object
dspace.entity.typePublication
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