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Appl. Sci. 2017, 7(6), 596; doi:10.3390/app7060596

IoT-Based Information System for Healthcare Application: Design Methodology Approach

1
Faculty of Electrical and Control Engineering, Gdansk University of Technology, G. Narutowicza 11/12, 80-233 Gdansk, Poland
2
BetterSolutions S.A., Al. Grunwaldzka 472, 80-309 Gdansk, Poland
3
Department of Applied Signal Processing, Blekinge Institute of Technology, 371 79 Karlskrona, Sweden
*
Author to whom correspondence should be addressed.
Academic Editor: Wenbing Zhao
Received: 28 April 2017 / Revised: 30 May 2017 / Accepted: 3 June 2017 / Published: 8 June 2017
(This article belongs to the Special Issue Smart Healthcare)
View Full-Text   |   Download PDF [4504 KB, uploaded 9 June 2017]   |  

Abstract

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. View Full-Text
Keywords: accelerometers; activity recognition; classification algorithms; design methodology; fall detection; healthcare; dead reckoning; thresholding accelerometers; activity recognition; classification algorithms; design methodology; fall detection; healthcare; dead reckoning; thresholding
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Dziak, D.; Jachimczyk, B.; Kulesza, W.J. IoT-Based Information System for Healthcare Application: Design Methodology Approach. Appl. Sci. 2017, 7, 596.

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