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A multifactorial falls risk prediction model for hospitalized older adults
Auckland University of Technology, Department of Electrical and Electronic Engineering, Auckland, New Zealand.
Auckland University of Technology, Department of Electrical and Electronic Engineering, Auckland, New Zealand.
Freemasons' Department of Geriatric Medicine, University of Auckland and North Shore Hospital, Takapuna, Auckland, New Zealand.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-1940-1747
2014 (English)In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, 2014, 3484-3487 p.Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

Ageing population worldwide has grown fast with more cases of chronic illnesses and co-morbidity, involving higher healthcare costs. Falls are one of the leading causes of unintentional injury-related deaths in older adults. The aim of this study was to develop a robust multifactorial model toward the falls risk prediction. The proposed model employs real-time vital signs, motion data, falls history and muscle strength. Moreover, it identifies high-risk individuals for the development falls in their activity of daily living (ADL). The falls risk prediction model has been tested at a controlled-environment in hospital with 30 patients and compared with the results from the Morse fall scale. The simulated results show the proposed algorithm achieved an accuracy of 98%, sensitivity of 96% and specificity of 100% among a total of 80 intentional falls and 40 ADLs. The ultimate aim of this study is to extend the application to elderly home care and monitoring.

Place, publisher, year, edition, pages
2014. 3484-3487 p.
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-31617DOI: 10.1109/EMBC.2014.6944373Scopus ID: 2-s2.0-84929501221ISBN: 9781424479290 (print)OAI: oai:DiVA.org:mdh-31617DiVA: diva2:930233
Conference
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, 26 August 2014 through 30 August 2014
Available from: 2016-05-23 Created: 2016-05-23 Last updated: 2016-12-27Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf