Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/31739
Title: | PilOT-Measure: A mobile 3D depth sensing application to support accurate and efficient clinician-led home-based falls risk assessments |
Authors: | Ibrahim, Z Money, A Atwal, A Spiliotopoulou, G |
Issue Date: | 2025 |
Publisher: | BioMed Central (part of Springer Nature) |
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) |
Abstract: | ... |
Description: | ,,, |
URI: | https://bura.brunel.ac.uk/handle/2438/31739 |
ISSN: | 1472-6947 |
Other Identifiers: | ORCiD: Arthur Money https://orcid.org/0000-0003-1063-3680 ORCiD: Anita Atwal https://orcid.org/0000-0001-6158-7237 ORCiD: Georgia Spiliotopoulou https://orcid.org/0000-0002-2321-9596 |
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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