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Early Signs of Diabetes Explored from an Engineering Perspective
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0002-8097-6390
Blekinge Institute of Technology.
2019 (English)In: Smart Industry & Smart Education / [ed] Auer, ME Langmann, R, Springer, 2019, p. 22-31Conference paper, Published paper (Refereed)
Abstract [en]

Undetected diabetes is a global issue, estimated to over 200 million persons affected. Engineering opportunities in capturing early signs of diabetes has a potential due to the complexity to interpret early signs and link it to diabetes. Persons with untreated diabetes are doubled in risk of getting cardiovascular diseases and may also suffer other consequent diseases. In Sweden, approximately 450 thousand have diabetes where 80-90% are of type 2 with 1/4 unaware of it, i.e. approx. 100 thousand. Screening approaches, searching specifically for diabetes in persons not showing symptoms has been initiated with positive results. However, some general drawbacks of screening such as false sense of security are an issue. In this publication, we focus upon in home measurements and empowering of the individual in identifying early signs of diabetes. The methods in this publication are to gather data, evaluate and give suggestion if clinical test to confirm or reject diabetes. In home measurements, education process with companies for innovation possibilities.

Place, publisher, year, edition, pages
Springer, 2019. p. 22-31
Series
Lecture Notes in Networks and Systems, ISSN 2367-3370, E-ISSN 2367-3389 ; 47
Keywords [en]
Engineering education, Diabetes, Internet-of-Things
National Category
Computer and Information Sciences
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-79848DOI: 10.1007/978-3-319-95678-7_3ISI: 000455197300003Scopus ID: 2-s2.0-85063281206ISBN: 978-3-319-95678-7 (print)ISBN: 978-3-319-95677-0 (print)OAI: oai:DiVA.org:lnu-79848DiVA, id: diva2:1282114
Conference
15th International Conference on Remote Engineering and Virtual Instrumentation (REV), MAR 21-23, 2018, Univ Appl Sci Duesseldorf, Duesseldorf, GERMANY
Available from: 2019-01-24 Created: 2019-01-24 Last updated: 2019-08-29Bibliographically approved

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Lundberg, Jenny

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CiteExportLink to record
Permanent link

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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