PilOT-Measure: a mobile 3D depth sensing application to support accurate and efficient clinician-led home-based falls risk assessments

This study highlights the positive role that mobile depth-sensing technologies can potentially play in improving the efficiency and accuracy of falls risk assessments, hence, reducing levels of equipment abandonment and falls related injuries at home. Future work will focus on improving marker placement, measurement accuracy, and accuracy consistency and explore the potential of using PilOT-Measure as a falls risk patient self-assessment tool.

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2025-09-24
DOI
https://doi.org/10.1186/s12911-025-03149-7
Citations
1
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
4.76
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article

PilOT-Measure: a mobile 3D depth sensing application to support accurate and efficient clinician-led home-based falls risk assessments

Georgia Spiliotopoulou, Arthur Money, Anita Atwal, Zear Ibrahim
1 citations
BMC Medical Informatics and Decision Making
Balance, Gait, and Falls Prevention
4.76
article

PilOT-Measure: a mobile 3D depth sensing application to support accurate and efficient clinician-led home-based falls risk assessments

Georgia Spiliotopoulou, Arthur Money, Anita Atwal, Zear Ibrahim
article en
1 citations

Abstract

This study highlights the positive role that mobile depth-sensing technologies can potentially play in improving the efficiency and accuracy of falls risk assessments, hence, reducing levels of equipment abandonment and falls related injuries at home. Future work will focus on improving marker placement, measurement accuracy, and accuracy consistency and explore the potential of using PilOT-Measure as a falls risk patient self-assessment tool.

BMC Medical Informatics and Decision MakingVol. 25(1)
University of East London (GB), Brunel University of London (GB)
Openalex Percentile: Top 6%
Balance, Gait, and Falls Prevention
4.76
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