Where care: A patient localization system for nursing homes

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dc.contributor.authorRonan, Isabelen
dc.contributor.authorTabirca, Sabinen
dc.contributor.authorMurphy, Daviden
dc.contributor.authorCornally, Nicolaen
dc.contributor.authorSaab, Mohamaden
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2024-11-04T14:55:49Z
dc.date.available2024-11-04T14:55:49Z
dc.date.issued2024-10-25en
dc.description.abstractAs the world's population continues to increase rapidly, there is a growing demand for healthcare services. Nursing homes are becoming more and more populated; the demands placed on care staff continue to grow exponentially. New approaches to care, such as palliative techniques, need to be considered to ensure residents are cared for in years to come. Localization can be used to track changes in behaviour and provide new insights into residents' palliative needs. Low-cost, reliable systems can be developed to help nurses monitor resident locations within nursing homes. This paper proposes a Bluetooth Low Energy localization system called “Where Care”. The proposed system uses smartphones and wireless Bluetooth beacons to localize residents in a test facility. A novel beacon placement technique and localization algorithm are used to provide real-time resident locations. Data collected is displayed in a graphical user interface (GUI) for ease of use. Heat maps and graphs are available in the GUI to allow care staff to make location predictions based on historical resident data. Nurses can also configure a notification service within the system interface to ensure resident safety. The system is implemented and tested in an experimental university space. Results show that the “Where Care” tool provides sufficiently accurate real-time localization measurements and data summaries. Overall, feedback indicates that “Where Care” is a useful tool with the potential for future use in busy, over-burdened nursing homes.en
dc.description.sponsorshipHorizon 2020 (10101673)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRonan, I., Tabirca, S., Murphy, D., Cornally, N. and Saab, M. (2024) 'Where care: A patient localization system for nursing homes', 2024 IEEE 21st International Conference on Mobile Ad-Hoc and Smart Systems (MASS), Seoul, Republic of Korea, 23-25 September 2024, pp. 387-393. https://doi.org/10.1109/MASS62177.2024.00058en
dc.identifier.doihttps://doi.org/10.1109/MASS62177.2024.00058en
dc.identifier.eissn2155-6814en
dc.identifier.endpage393en
dc.identifier.isbn979-8-3503-6399-9en
dc.identifier.isbn979-8-3503-6400-2en
dc.identifier.issn2155-6806en
dc.identifier.startpage387en
dc.identifier.urihttps://hdl.handle.net/10468/16613
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartof2024 IEEE 21st International Conference on Mobile Ad-Hoc and Smart Systems (MASS), Seoul, Republic of Korea, 23-25 September 2024,en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Centres for Research Training Programme::Data and ICT Skills for the Future/18/CRT/6222/IE/SFI Centre for Research Training in Advanced Networks for Sustainable Societies/en
dc.rights© 2024, IEEE. This publication has emanated from research supported in part by a grant from Science Foundation Ireland. For the purpose of Open Access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submissionen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectLocalizationen
dc.subjectBluetooth low energyen
dc.subjectSmartphonesen
dc.subjectNeural networken
dc.titleWhere care: A patient localization system for nursing homesen
dc.typeConference itemen
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