kth.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Context-aware early warning system for in-home healthcare using internet-of-things
KTH, Skolan för informations- och kommunikationsteknik (ICT), Industriell och Medicinsk Elektronik. University of Turku, Finland.ORCID-id: 0000-0001-8750-8242
KTH, Skolan för informations- och kommunikationsteknik (ICT), Industriell och Medicinsk Elektronik. University of Turku, Finland.ORCID-id: 0000-0003-1959-6513
2016 (Engelska)Ingår i: 2nd International Summit on Internet of Things, IoT 360° 2015, Springer, 2016, s. 517-522Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Early warning score (EWS) is a prediction method to notify caregivers at a hospital about the deterioration of a patient. Deterioration can be identified by detecting abnormalities in patient’s vital signs several hours prior the condition of the patient gets life-threatening. In the existing EWS systems, monitoring of patient’s vital signs and the determining the score is mostly performed in a paper and pen based way. Furthermore, currently it is done solely in a hospital environment. In this paper, we propose to import this system to patients’ home to provide an automated platform which not only monitors patents’ vital signs but also looks over his/her activities and the surrounding environment. Thanks to the Internet-of-Things technology, we present an intelligent early warning method to remotely monitor in-home patients and generate alerts in case of different medical emergencies or radical changes in condition of the patient. We also demonstrate an early warning score analysis system which continuously performs sensing, transferring, and recording vital signs, activity-related data, and environmental parameters.

Ort, förlag, år, upplaga, sidor
Springer, 2016. s. 517-522
Nyckelord [en]
E-Health, Early warning score, Internet-of-things, Remote patient monitoring, Deterioration, Hospitals, Patient monitoring, E health, Early Warning System, Early-warning method, Environmental parameter, Hospital environment, Internet of things technologies, Surrounding environment, Internet of things
Nationell ämneskategori
Datorsystem
Identifikatorer
URN: urn:nbn:se:kth:diva-201996DOI: 10.1007/978-3-319-47063-4_56ISI: 000398616500056Scopus ID: 2-s2.0-85000814878ISBN: 9783319470627 (tryckt)OAI: oai:DiVA.org:kth-201996DiVA, id: diva2:1077051
Konferens
27 October 2015 through 29 October 2015
Anmärkning

QC 20170224

Tillgänglig från: 2017-02-24 Skapad: 2017-02-24 Senast uppdaterad: 2022-06-27Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Person

Rahmani, Amir-MohammadTenhunen, Hannu

Sök vidare i DiVA

Av författaren/redaktören
Rahmani, Amir-MohammadTenhunen, Hannu
Av organisationen
Industriell och Medicinsk Elektronik
Datorsystem

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetricpoäng

doi
isbn
urn-nbn
Totalt: 439 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf