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A new intelligent approach for automatic stress level assessment based on multiple physiological parameters monitoring

dc.contributor.authorRibeiro, Goncalo
dc.contributor.authorPostolache, Octavian
dc.contributor.authorFerrero Martín, Francisco Javier 
dc.date.accessioned2024-07-11T07:29:35Z
dc.date.available2024-07-11T07:29:35Z
dc.date.issued2024
dc.identifier.citationIEEE Transactions on Instrumentation and Measurement, 73, (2024); doi:10.1109/TIM.2023.3342218
dc.identifier.issn0018-9456
dc.identifier.issn1557-9662
dc.identifier.urihttps://hdl.handle.net/10651/73165
dc.description.sponsorshipInstituto de Telecomunicaes
dc.description.sponsorshipThis work was supported in part by the Instituto de Telecomunicações and in part by the Fundação para a Ciência e a Tecnologia (FCT)/Ministério da Ciência, Tecnologia e Ensino Superior (MCTES) through National Funds and, when applicable, from European Union (EU) funds co-financed under Project UIDB/50008/2020. The work was supported by the ISCTE-Instituto Universitário de Lisboa.
dc.language.isoeng
dc.relation.ispartofIEEE Transactions on Instrumentation and Measurement
dc.rights© IEEE
dc.rightsCC Reconocimiento – No Comercial – Sin Obra Derivada 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceWOS:001133492400019
dc.titleA new intelligent approach for automatic stress level assessment based on multiple physiological parameters monitoring
dc.typejournal article
dc.identifier.doi10.1109/TIM.2023.3342218
dc.relation.publisherversionhttp://dx.doi.org/10.1109/TIM.2023.3342218
dc.rights.accessRightsopen access
dc.type.hasVersionAM


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