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Hybrid Sensing for Fatigue Detection Using Wearables and RF

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dc.contributor.authorTaylor, William
dc.contributor.authorHill, Derek
dc.contributor.authorAdam, Rosalind
dc.contributor.authorCooper, Jonathan M.
dc.contributor.authorAbbasi, Qammer H.
dc.contributor.authorImran, Muhammad Ali
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Cancer Centreen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre for Health Data Scienceen
dc.date.accessioned2024-07-24T12:02:01Z
dc.date.available2024-07-24T12:02:01Z
dc.date.issued2024-07-15
dc.description.statusPeer revieweden
dc.format.extent9
dc.format.extent1046571
dc.identifier289682428
dc.identifiera8fc6da2-4645-4494-85ed-73859bb0ff7c
dc.identifier85194842007
dc.identifier.citationTaylor, W, Hill, D, Adam, R, Cooper, J M, Abbasi, Q H & Imran, M A 2024, 'Hybrid Sensing for Fatigue Detection Using Wearables and RF', IEEE Sensors Journal, vol. 24, no. 14, pp. 22764 - 22772. https://doi.org/10.1109/JSEN.2024.3404637en
dc.identifier.doi10.1109/JSEN.2024.3404637
dc.identifier.iss14en
dc.identifier.issn1558-1748
dc.identifier.otherORCID: /0000-0003-3082-6578/work/164505393
dc.identifier.urihttps://hdl.handle.net/2164/23909
dc.identifier.vol24en
dc.language.isoeng
dc.relation.ispartofIEEE Sensors Journalen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectSmart healthcareen
dc.subjectFatigue Detectionen
dc.subjectRF Sensingen
dc.subjectWearablesen
dc.subjectArtificial intelligenceen
dc.subjectR Medicineen
dc.subject.lccRen
dc.titleHybrid Sensing for Fatigue Detection Using Wearables and RFen
dc.typeJournal articleen

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