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dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorBOFFET, Alexis
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorARSAC, Laurent M.
dc.contributor.authorIBANEZ, Vincent
dc.contributor.authorSAUVET, Fabien
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorARSAC, Veronique
IDREF: 185539807
dc.date.accessioned2025-09-29T08:43:08Z
dc.date.available2025-09-29T08:43:08Z
dc.date.issued2025-04-08
dc.identifier.issn1424-8220en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/207676
dc.description.abstractEnElectrodermal activity (EDA) and heart rate variability (HRV) offer opportunities to grasp critical manifestations of the nervous autonomic system using low-intrusive sensing tools. A key question relies on the capacity to adequately process EDA and HRV signals to extract cognitive load markers, a multifaceted construct with intricate neural networks functioning, where emotions interfere with cognition. Here, 34 participants (20 males, 19.2 ± 1.3 years) were exposed to two-back mental tasking and watching emotionally charged images while recording EDA and HRV. HRV signals were processed using variable frequency complex demodulation (VFCDM) and wavelet packet transform (WPT) to provide high- and low-frequency (HF and LF) markers. Three methods were used to extract EDA indices: VFCDM (EDATVSYMP), WPT (EDAWPT), and convex-optimization (EDACVX). Cognitive load and emotion epochs were distinguished by significant differences in NASA-TLX scores, mental fatigue, and stress, on the one hand; and by EDACVX and, remarkably, EDATVSYMP and HF-HRVVFCDM on the other hand. A linear mixed-effects model and stepwise backward selection procedure showed that these two markers were main predictors of the NASA-TLX score (cognitive load). The individual perception of cognitive load was finally discriminated by k-means clustering, showing three profiles of autonomic responses relying, respectively, on EDATVSYMP, HF-HRVVFCDM, or a mix of these two markers. The existence of EDA-, HRV-, and EDA/HRV-derived profiles might explain why previous attempts that have predominantly employed a single biosignal often remained unconclusive in evaluating the perceived cognitive load, thereby demonstrating the added value of the present approach to monitor mental-related workload in human operators.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.enCognitive load
dc.subject.enEDA
dc.subject.enHRV
dc.subject.en2-back
dc.subject.enNASA-TLX
dc.title.enDetection of Cognitive Load Modulation by EDA and HRV
dc.typeArticle de revueen_US
dc.identifier.doi10.3390/s25082343en_US
dc.subject.halSciences de l'ingénieur [physics]en_US
bordeaux.journalSensorsen_US
bordeaux.page2343en_US
bordeaux.volume25en_US
bordeaux.hal.laboratoriesIMS : Laboratoire de l'Intégration du Matériau au Système - UMR 5218en_US
bordeaux.issue8en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.teamCOGNITICS - PMH-DYSCOen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcecrossref
hal.identifierhal-05288178
hal.version1
hal.date.transferred2025-09-29T08:43:10Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
workflow.import.sourcecrossref
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Sensors&rft.date=2025-04-08&rft.volume=25&rft.issue=8&rft.spage=2343&rft.epage=2343&rft.eissn=1424-8220&rft.issn=1424-8220&rft.au=BOFFET,%20Alexis&ARSAC,%20Laurent%20M.&IBANEZ,%20Vincent&SAUVET,%20Fabien&ARSAC,%20Veronique&rft.genre=article


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