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dc.contributor.authorDissanayake, Udeshika
dc.contributor.authorSteuber, Volker
dc.contributor.authorAmirabdollahian, Farshid
dc.date.accessioned2022-01-20T16:45:02Z
dc.date.available2022-01-20T16:45:02Z
dc.date.issued2022-01-20
dc.identifier.citationDissanayake , U , Steuber , V & Amirabdollahian , F 2022 , ' EEG Spectral Feature Modulations Associated with Fatigue in Robot-Mediated Upper Limb Gross and Fine Motor Interactions ' , Frontiers in Neurorobotics . https://doi.org/10.3389/fnbot.2021.788494
dc.identifier.issn1662-5218
dc.identifier.otherJisc: 8f5497184399486bb09ebb768f174589
dc.identifier.otherORCID: /0000-0003-0186-3580/work/133139257
dc.identifier.urihttp://hdl.handle.net/2299/25313
dc.description© 2022 Dissanayake, Steuber and Amirabdollahian. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). https://creativecommons.org/licenses/by/4.0/
dc.description.abstractThis paper investigates the EEG spectral feature modulations associated with fatigue induced by robot-mediated upper limb gross and fine motor interactions. Twenty healthy participants were randomly assigned to perform a gross motor interaction with HapticMASTER or a fine motor interaction with SCRIPT passive orthosis for 20 min or until volitional fatigue. Relative and ratio band power measures were estimated from the EEG data recorded before and after the robot-mediated interactions. Paired-samples t-tests found a significant increase in the relative alpha band power and a significant decrease in the relative delta band power due to the fatigue induced by the robot-mediated gross and fine motor interactions. The gross motor task also significantly increased the (θ + α)/β and α/β ratio band power measures, whereas the fine motor task increased the relative theta band power. Furthermore, the robot-mediated gross movements mostly changed the EEG activity around the central and parietal brain regions, whereas the fine movements mostly changed the EEG activity around the frontopolar and central brain regions. The subjective ratings suggest that the gross motor task may have induced physical fatigue, whereas the fine motor task may have induced mental fatigue. Therefore, findings affirm that changes to localised brain activity patterns indicate fatigue developed from the robot-mediated interactions. It can also be concluded that the regional differences in the prominent EEG spectral features are most likely due to the differences in the nature of the task (fine/gross motor and distal/proximal upper limb) that may have differently altered an individual's physical and mental fatigue level. The findings could potentially be used in future to detect and moderate fatigue during robot-mediated post-stroke therapies.en
dc.format.extent17
dc.format.extent6219652
dc.language.isoeng
dc.relation.ispartofFrontiers in Neurorobotics
dc.subjectHapticMASTER
dc.subjectSCRIPT passive orthosis
dc.subjectband power ratios
dc.subjectelectroencephalogram
dc.subjectfatigue in upper limb robot-mediated interactions
dc.subjectindependent component analysis
dc.subjectrelative band power
dc.subjectstatistical analysis
dc.subjectNeuroscience
dc.subjectArtificial Intelligence
dc.subjectBiomedical Engineering
dc.titleEEG Spectral Feature Modulations Associated with Fatigue in Robot-Mediated Upper Limb Gross and Fine Motor Interactionsen
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionCentre for Future Societies Research
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionCentre of Data Innovation Research
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionBiocomputation Research Group
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85124002360&partnerID=8YFLogxK
rioxxterms.versionofrecord10.3389/fnbot.2021.788494
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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