Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/31739
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dc.contributor.authorIbrahim, Z-
dc.contributor.authorMoney, A-
dc.contributor.authorAtwal, A-
dc.contributor.authorSpiliotopoulou, G-
dc.date.accessioned2025-08-15T10:55:29Z-
dc.date.available2025-08-15T10:55:29Z-
dc.date.issued2025-
dc.identifierORCiD: Arthur Money https://orcid.org/0000-0003-1063-3680-
dc.identifierORCiD: Anita Atwal https://orcid.org/0000-0001-6158-7237-
dc.identifierORCiD: Georgia Spiliotopoulou https://orcid.org/0000-0002-2321-9596-
dc.identifier.citationIbrahim, Z. et al. (2025) 'PilOT-Measure: A mobile 3D depth sensing application to support accurate and efficient clinician-led home-based falls risk assessments', BMC Medical Informatics and Decision Making, 0 (accepted, in press)en_US
dc.identifier.issn1472-6947-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/31739-
dc.description,,,en_US
dc.description.abstract...en_US
dc.description.sponsorshipNo funding was obtained for this study.-
dc.format.extent1 - 48-
dc.format.mediumElectronic-
dc.language.isoenen_US
dc.publisherBioMed Central (part of Springer Nature)en_US
dc.titlePilOT-Measure: A mobile 3D depth sensing application to support accurate and efficient clinician-led home-based falls risk assessmentsen_US
dc.typeArticleen_US
dc.relation.isPartOfBMC Medical Informatics and Decision Making-
pubs.publication-statusAccepted-
pubs.volume0-
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