Please use this identifier to cite or link to this item: https://bura.brunel.ac.uk/handle/2438/33682
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dc.contributor.authorOtoom, Mwaffaq-
dc.contributor.authorAlzubaidi, Mohammad A.-
dc.contributor.authorGhinea, Gheorghita-
dc.contributor.authorAl-Tahat, Shayma-
dc.contributor.authorOtoum, Nesreen-
dc.date.accessioned2026-08-11T19:57:30Z-
dc.date.available2026-08-11T19:57:30Z-
dc.date.issued2026-05-12-
dc.identifier.citationOtoom, M. et al. (2026) 'Biosensing in the Internet of Medical Things: A System Architecture and Design-Oriented Survey', 2026 2nd International Conference on Computational Intelligence Approaches and Applications (ICCIAA), Amman, Jordan, 12–14 May, pp. 1–7. doi: 10.1109/icciaa68481.2026.11543939.en_US
dc.identifier.isbn9798331556594-
dc.identifier.isbn9798331556600-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/33682-
dc.description.abstractDiseases and healthcare concerns have become more prevalent in our society. As a result, more individuals are turning towards wearable technology as a way to keep track of their well-being. In addition, the introduction of the Internet of Medical Things will allow for continuous tracking of individuals’ health through a distributed network of devices.For engineers, the design of these networks must be done carefully in order to maximize their efficiency and effectiveness; however, engineers cannot focus solely on individual sensor technologies because they must consider all aspects of an IoMT ecosystem. This paper reviews biosensing systems used in the IoMT and provides an overview of how a wide variety of medical sensors can be integrated together for maximum effectiveness, illustrating how such systems can be organized into an entire ecosystem from the end-users’ perspective and how that broad Vision can be achieved through engineering design.This paper will help researchers and practitioners in the design and development of scalable, efficient and adaptable IoMT solutions. It will also help determine direction for future research into intelligent and sustainable biosensing systems.en_US
dc.format.extentpp. 1–7-
dc.format.mediumPrint-Electronic-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsLicence for published version: Publisher's own licence-
dc.rightsRe-use licence for this version: InCopyright-
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/-
dc.source2026 2nd International Conference on Computational Intelligence Approaches and Applications (ICCIAA)-
dc.source2026 2nd International Conference on Computational Intelligence Approaches and Applications (ICCIAA)-
dc.subjectInternet of Medical Things (IoMT)en_US
dc.subjectBiosensorsen_US
dc.subjectSystem Architectureen_US
dc.subjectEdge Computingen_US
dc.subjectDesign-Oriented Surveyen_US
dc.subjectHealthcare IoTen_US
dc.titleBiosensing in the Internet of Medical Things: A System Architecture and Design-Oriented Surveyen_US
dc.typeConference paperen_US
dc.date.dateAccepted2026-02-08-
dc.date.dateAccepted2026-05-12-
dc.identifier.doihttps://doi.org/10.1109/icciaa68481.2026.11543939-
dc.relation.isPartOf2026 2nd International Conference on Computational Intelligence Approaches and Applications (ICCIAA)-
pubs.finish-date2026-05-14-
pubs.finish-date2026-05-14-
pubs.publication-statusPublished-
pubs.start-date2026-05-12-
pubs.start-date2026-05-12-
dcterms.dateAccepted2026-02-08-
dcterms.dateAccepted2026-05-12-
dc.rights.holderInstitute of Electrical and Electronics Engineers (IEEE)-
dc.contributor.orcidGhinea, Gheorghita [0000-0003-2578-5580]-
Appears in Collections:Department of Computer Science Research Papers

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