mdh.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Intelligent Stress Management System
Mälardalens högskola, Akademin för innovation, design och teknik.ORCID-id: 0000-0003-3802-4721
Mälardalens högskola, Akademin för innovation, design och teknik.ORCID-id: 0000-0002-1212-7637
Mälardalens högskola, Akademin för innovation, design och teknik.ORCID-id: 0000-0002-5562-1424
Mälardalens högskola, Akademin för innovation, design och teknik.ORCID-id: 0000-0001-9857-4317
Vise andre og tillknytning
2009 (engelsk)Inngår i: Medicinteknikdagarna 2009, 2009Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Today, in our daily life we are subjected to a wide range of pressures. When the pressures exceed the extent that we are able to deal with then stress is trigged. High level of stress may cause serious health problems i.e. it reduces awareness of bodily symptoms. So, people may first notice it weeks or months later meanwhile the stress could cause more serious effect in the body and health. A difficult issue in stress management is to use biomedical sensor signals in the diagnosis and treatment of stress. This paper presents a case-based system that assists a clinician in diagnosis and treatment of stress. The system uses a finger temperature sensor and the variation in the finger temperature is one of the key features in the system. Several artificial intelligence techniques such as textual information retrieval, rule-based reasoning (RBR), and fuzzy logic have been combined together with case-based reasoning to enable more reliable and efficient diagnosis and treatment of stress. The performance has been validated implementing a research prototype and close collaboration with experts.

sted, utgiver, år, opplag, sider
2009.
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-9067OAI: oai:DiVA.org:mdh-9067DiVA, id: diva2:301638
Tilgjengelig fra: 2010-03-03 Laget: 2010-03-03 Sist oppdatert: 2017-01-26bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Personposter BETA

Ahmed, Mobyen UddinBegum, ShahinaFunk, PeterXiong, NingLindén, MariaFolke, Mia

Søk i DiVA

Av forfatter/redaktør
Ahmed, Mobyen UddinBegum, ShahinaFunk, PeterXiong, NingLindén, MariaFolke, Mia
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric

urn-nbn
Totalt: 250 treff
RefereraExporteraLink to record
Permanent link

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