lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Important Aspects to Consider When Developing ICTs for Purposes of Fall Prevention in the eHealth Domain.
Linnaeus University, Faculty of Technology, Department of Informatics.ORCID iD: 0000-0001-7048-8089
Linnaeus University, Faculty of Technology, Department of Informatics.ORCID iD: 0000-0002-8059-9150
2018 (English)In: Proceedings of the 1st International Workshop on Informatics & Data-Driven Medicine (IDDM 2018) Lviv, Ukraine, November 28-30, 2018. / [ed] Nataliya Shakhovska, Sergio Montenegro, Yannick Estève, Sergey Subbotin, Natalia Kryvinska, Ivan Izonin, ceur-ws.org , 2018, Vol. 2255, p. 229-238Conference paper, Published paper (Refereed)
Abstract [en]

The current paper reviews briefly the eHealth domain, especially falldetection and prevention features, in connection with the developments of ICTs.The timely data signal providing identification of probable fall at early stages aswell as its specifics can prevent serious injuries. It is crucial for elderly peopleliving at home alone since it could affect their independent living. Therefore, thespecific and contextual characteristics of several related factors are essential tounderstand in order to be able to diminish or remove the risk of the fall of theelderly at risk. The current paper presents research in progress and its results inthe FRONT-VL project part of Celtic plus. The paper highlights essential factorsto consider when developing and implementing a semantic database model forpurposes, such as fault prevention.

Place, publisher, year, edition, pages
ceur-ws.org , 2018. Vol. 2255, p. 229-238
Series
Ceur Workshop Proceedings, ISSN 1613-0073, E-ISSN 1613-0073 ; 2255
Keywords [en]
fall prevention, fall detection, ehealth, elderly people, ICTs
National Category
Computer Systems
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-82190Scopus ID: 2-s2.0-85057772215OAI: oai:DiVA.org:lnu-82190DiVA, id: diva2:1306980
Conference
IDDM 2018 Informatics & Data-Driven Medicine, Proceedings of the 1st International Workshop on Informatics & Data-Driven Medicine (IDDM 2018), Information systems in medicine: technology and applications, pp. 229-238
Available from: 2019-04-25 Created: 2019-04-25 Last updated: 2019-06-12Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

ScopusFulltext

Authority records BETA

Campos, JaimeAskenäs, Linda

Search in DiVA

By author/editor
Campos, JaimeAskenäs, Linda
By organisation
Department of Informatics
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 14 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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