Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/31739
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ibrahim, Z | - |
dc.contributor.author | Money, A | - |
dc.contributor.author | Atwal, A | - |
dc.contributor.author | Spiliotopoulou, G | - |
dc.date.accessioned | 2025-08-15T10:55:29Z | - |
dc.date.available | 2025-08-15T10:55:29Z | - |
dc.date.issued | 2025 | - |
dc.identifier | ORCiD: Arthur Money https://orcid.org/0000-0003-1063-3680 | - |
dc.identifier | ORCiD: Anita Atwal https://orcid.org/0000-0001-6158-7237 | - |
dc.identifier | ORCiD: Georgia Spiliotopoulou https://orcid.org/0000-0002-2321-9596 | - |
dc.identifier.citation | Ibrahim, 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.issn | 1472-6947 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/31739 | - |
dc.description | ,,, | en_US |
dc.description.abstract | ... | en_US |
dc.description.sponsorship | No funding was obtained for this study. | - |
dc.format.extent | 1 - 48 | - |
dc.format.medium | Electronic | - |
dc.language.iso | en | en_US |
dc.publisher | BioMed Central (part of Springer Nature) | en_US |
dc.title | PilOT-Measure: A mobile 3D depth sensing application to support accurate and efficient clinician-led home-based falls risk assessments | en_US |
dc.type | Article | en_US |
dc.relation.isPartOf | BMC Medical Informatics and Decision Making | - |
pubs.publication-status | Accepted | - |
pubs.volume | 0 | - |
Appears in Collections: | Dept of Computer Science Embargoed Research Papers Dept of Health Sciences Embargoed Research Papers |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | Embargoed until publication | 1.98 MB | Adobe PDF | View/Open |
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