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Multi-parameter Sensing Platform in ESS-H and E-care@home
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3802-4721
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-1940-1747
2017 (English)In: Joint conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC) EMBEC & NBC’17, 2017Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Considering the population of ageing, health monitoring of elderly at home have the possibility for a person to keep track on his/her health status, e.g. decreased mobility in a personal environment. This also shows the potential of real-time decision support, early detection of symptoms, following of health trends and context awareness [1]. The ongoing projects Embedded Sensor for Health (ESS-H)1 and E-care@home2 are focusing on health monitoring of elderly at home. This paper presents the implementation of multi-parameter sensing on an Android platform. The objectives are, both to follow health trends and to enabling real time monitoring.

Place, publisher, year, edition, pages
2017.
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-37018OAI: oai:DiVA.org:mdh-37018DiVA: diva2:1160355
Conference
Joint conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC) EMBEC & NBC’17, 11 Jun 2017, Tampere, Finland
Projects
ESS-H - Embedded Sensor Systems for Health Research Profileecare@home
Available from: 2017-11-27 Created: 2017-11-27 Last updated: 2017-11-27Bibliographically approved

Open Access in DiVA

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Authority records BETA

Ahmed, Mobyen UddinLindén, Maria

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  • asciidoc
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