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IoT-based information system for healthcare application: Design methodology approach
Politechnika Gdanska, POL.
BetterSolutions S.A., POL.
Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för tillämpad signalbehandling.
2017 (engelsk)Inngår i: Applied Sciences, E-ISSN 2076-3417, Vol. - 7, nr - 6, artikkel-id 596Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

- Over the last few decades, life expectancy has increased significantly. However, elderly people who live on their own often need assistance due to mobility difficulties, symptoms of dementia or other health problems. In such cases, an autonomous supporting system may be helpful. This paper proposes the Internet of Things (IoT)-based information system for indoor and outdoor use. Since the conducted survey of related works indicated a lack of methodological approaches to the design process, therefore a Design Methodology (DM), which approaches the design target from the perspective of the stakeholders, contracting authorities and potential users, is introduced. The implemented solution applies the three-axial accelerometer and magnetometer, Pedestrian Dead Reckoning (PDR), thresholding and the decision trees algorithm. Such an architecture enables the localization of a monitored person within four room-zones with accuracy; furthermore, it identifies falls and the activities of lying, standing, sitting and walking. Based on the identified activities, the system classifies current activities as normal, suspicious or dangerous, which is used to notify the healthcare staff about possible problems. The real-life scenarios validated the high robustness of the proposed solution. Moreover, the test results satisfied both stakeholders and future users and ensured further cooperation with the project. © 2017 by the authors.

sted, utgiver, år, opplag, sider
MDPI AG , 2017. Vol. - 7, nr - 6, artikkel-id 596
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-14672DOI: 10.3390/app7060596ISI: 000404449800072OAI: oai:DiVA.org:bth-14672DiVA, id: diva2:1113900
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open access

Tilgjengelig fra: 2017-06-22 Laget: 2017-06-22 Sist oppdatert: 2017-12-01bibliografisk kontrollert

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