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Embedded sensor systems for health-A step towards personalized health
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-1940-1747
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-2419-2735
2018 (English)In: Studies in Health Technology and Informatics, IOS Press , 2018, Vol. 249, p. 69-74Conference paper, Published paper (Refereed)
Abstract [en]

The demography is changing towards older people, and the challenge to provide an appropriate care is well known. Sensor systems, combined with IT solutions are recognized as one of the major tools to handle this situation. Embedded Sensor Systems for Health (ESS-H) is a research profile at Mälardalen University in Sweden, focusing on embedded sensor systems for health technology applications. The research addresses several important issues: To provide sensor systems for health monitoring at home, to provide sensor systems for health monitoring at work, to provide safe and secure infrastructure and software testing methods for physiological data management. The user perspective is important in order to solve real problems and to develop systems that are easy and intuitive to use. One of the overall aims is to enable health trend monitoring in home environments, thus being able to detect early deterioration of a patient. Sensor systems, signal processing algorithms, and decision support algorithms have been developed. Work on development of safe and secure infrastructure and software testing methods are important for an embedded sensor system aimed for health monitoring, both in home and in work applications. Patient data must be sent and received in a safe and secure manner, also fulfilling the integrity criteria.

Place, publisher, year, edition, pages
IOS Press , 2018. Vol. 249, p. 69-74
Keywords [en]
Chronic disease, Embedded sensor system, Multi diseased, Multi-sensor
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:mdh:diva-40239DOI: 10.3233/978-1-61499-868-6-69Scopus ID: 2-s2.0-85049011954ISBN: 9781614998679 (print)OAI: oai:DiVA.org:mdh-40239DiVA, id: diva2:1232620
Conference
15th International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2018; Gjovik; Norway; 12 June 2018 through 14 June 2018
Available from: 2018-07-12 Created: 2018-07-12 Last updated: 2018-12-18Bibliographically approved

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Lindén, MariaBjörkman, Mats

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • de-DE
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  • fi-FI
  • nn-NO
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  • Other locale
More languages
Output format
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  • asciidoc
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