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Health Trend Monitoring by Embedded Sensor Systems for 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: 0000-0002-4368-4751
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-2419-2735
2020 (English)In: IFMBE Proceedings / [ed] Jarm, Tomaz; Cvetkoska, Aleksandra; Mahni Kalamiza, Samo; Miklavcic, Damijan, Springer, 2020, Vol. 80, p. 607-612Conference paper, Published paper (Refereed)
Abstract [en]

Embedded Sensor Systems for Health (ESS-H) is a research profile where academia collaborates with healthcare organizations and industry with a focus to develop sensor systems for future healthcare. The overarching aim is that health monitoring should be possible to perform anytime, anywhere, using sensor systems for health monitoring and monitoring of humans.

A system-wide holistic approach is used, including end-user involvement and close collaboration with companies. This way, user relevance and user acceptance, together with industrial interests, are assured throughout the system design and implementation. The research results have a high potential to become adapted, deployed, and commercialized through this approach.

The work in ESS-H is focused within five subprojects:

Microwave technology systems, where microwaves are used to measure human tissue, with the aim to detect tumors and strokes.

Systems for prevention and monitoring of chronic diseases, where multiple physiological parameters are monitored, and the data is aggregated in order to diagnose and follow health trends. This also includes safe and secure communication, data aggregation and decision support.

Vehicle and driver monitoring systems, where the driver environment detects the status of the driver, e.g., regarding alcohol level, attention, and sleepiness.

Motion control and analysis, fall prevention, where motion parameters are captured and analyzed, e.g., in order to detect risk of falling or physical activity level.

IT-platform for monitoring health at home, where a platform for reliable acquisition of physiological data as well as management and analysis of this data is provided.

Place, publisher, year, edition, pages
Springer, 2020. Vol. 80, p. 607-612
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-52760DOI: 10.1007/978-3-030-64610-3_68Scopus ID: 2-s2.0-85097609371ISBN: 978-3-030-64610-3 (print)OAI: oai:DiVA.org:mdh-52760DiVA, id: diva2:1507704
Conference
European Medical and Biological Engineering Conference, EMBEC 2020: 8th European Medical and Biological Engineering Conference
Available from: 2020-12-08 Created: 2020-12-08 Last updated: 2021-01-07Bibliographically approved

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Lindén, MariaKristoffersson, AnnicaBjörkman, Mats

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