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dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorARSAC, Laurent M.
dc.contributor.authorCHEVALERIAS, Olivier
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorDESCHODT-ARSAC, Veronique
dc.date.accessioned2025-09-29T07:22:47Z
dc.date.available2025-09-29T07:22:47Z
dc.date.issued2025-05-07
dc.identifier.issn1424-8220en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/207673
dc.description.abstractEnHand displacements during task-directed movements are not random, but exhibit fractal behavior. Wearable sensing e.g., accelerometer-derived hand movement fluctuations, could add a significant contribution to cognitive and behavioral sciences, by accounting for fractal dynamics. In particular, multifractal testing of fluctuation time series has been shown to reflect the adaptive use of cognition, i.e., cognitive flexibility. This important property might be enhanced by an improved mental state. Here, an experimental group (16 participants, 3 females) practiced 5 min cardiac coherence (CC) prior to a cognitive flexibility task and was compared to a control group (13 participants, 4 females). Accelerometer-derived hand motion was analyzed using multifractal-multiscale detrended fluctuation analysis (MFMS-DFA) during a task involving cognitive flexibility, the Wisconsin Card Sorting Test (WCST). WCST included four phases alternating the use of cards with original shapes or animal pictures developed for children in previous research. Hand behavioral time series derived from the wearable accelerometer effectively exhibited nonlinear multifractality as shown using linearized surrogates testing. Multifractal-multiscale metrics revealed significant effects of pre-task CC practice, specifically during WCST shape condition where CC participants showed lower multifractal degree despite similar performances (perseverative errors). We conclude that multifractal-multiscale testing of accelerometer-derived hand motion could make a significant contribution to interpreting changes in cognitive flexibility.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.enHuman monitoring
dc.subject.enCognition
dc.subject.enMovement
dc.subject.enMultifractality
dc.title.enFrom Accelerometer to Cognition: Hand Motion Can Reflect Effects of Cardiac Coherence on Cognitive Flexibility
dc.typeArticle de revueen_US
dc.identifier.doi10.3390/s25092942en_US
dc.subject.halSciences de l'ingénieur [physics]en_US
bordeaux.journalSensorsen_US
bordeaux.page2942en_US
bordeaux.volume25en_US
bordeaux.hal.laboratoriesIMS : Laboratoire de l'Intégration du Matériau au Système - UMR 5218en_US
bordeaux.issue9en_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-05287851
hal.version1
hal.date.transferred2025-09-29T07:22:50Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
workflow.import.sourcecrossref
dc.rights.ccCC BYen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Sensors&rft.date=2025-05-07&rft.volume=25&rft.issue=9&rft.spage=2942&rft.epage=2942&rft.eissn=1424-8220&rft.issn=1424-8220&rft.au=ARSAC,%20Laurent%20M.&CHEVALERIAS,%20Olivier&DESCHODT-ARSAC,%20Veronique&rft.genre=article


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