Article | Proceedings from The 15th Scandinavian Conference on Health Informatics 2017 Kristiansand, Norway, August 29–30, 2017 | EDMON - A Wireless Communication Platform for a Real-Time Infectious Disease Outbreak De- tection System Using Self-Recorded Data from People with Type 1 Diabetes Linköping University Electronic Press Conference Proceedings
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Title:
EDMON - A Wireless Communication Platform for a Real-Time Infectious Disease Outbreak De- tection System Using Self-Recorded Data from People with Type 1 Diabetes
Author:
Ashenafi Zebene Woldaregay: Department of Computer Science, University of Tromsø – The Arctic University of Norway, Tromsø, Norway Eirik Årsand: Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway Alain Giordanengo: Department of Computer Science, University of Tromsø – The Arctic University of Norway, Tromsø, Norway / Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway David Albers: Columbia University, N.Y., USA Lena Mamykina: Columbia University, N.Y., USA Taxiarchis Botsis: Department of Computer Science, University of Tromsø – The Arctic University of Norway, Tromsø, Norway Gunnar Hartvigsen: Department of Computer Science, University of Tromsø – The Arctic University of Norway, Tromsø, Norway / Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway
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Full text (pdf)
Year:
2017
Conference:
Proceedings from The 15th Scandinavian Conference on Health Informatics 2017 Kristiansand, Norway, August 29–30, 2017
Issue:
145
Article no.:
003
Pages:
14-20
No. of pages:
6
Publication type:
Abstract and Fulltext
Published:
2018-01-04
ISBN:
978-91-7685-364-1
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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The relation between an infection incident and elevated blood glucose (BG) levels has been known for long time. People with diabetes often experience variable episodes of elevated BG levels up on infections incident. Hence, we proposed an Electronic Disease Surveillance Monitoring Network (EDMON) that uses BG pattern and other relevant parameters to detect infected diabetes individuals during the incubation period. The project is an extension of the results achieved in the mobile diabetes (mDiabetes) field within our research team for the last 15 years. The proposed EDMON system is a kind of public health surveillance, which uses events analysis at individual levels (called micro events) to reach on a conclusion for uncovering events on the general populations (called macro events) based on spatio-temporal cluster detection. It incorporates self-management mobile apps, sensors, wearables, and point of care (POC) devices to collect real-time health information from individuals with Type 1 diabetes. In this paper, we will present the proposed EDMON system architecture along with the design requirements, system components, communication protocols and challenges involved herein.

Keywords: Type 1 Diabetes, Wireless Communication, BG Pattern Detection, Infection Detection

Proceedings from The 15th Scandinavian Conference on Health Informatics 2017 Kristiansand, Norway, August 29–30, 2017

Author:
Ashenafi Zebene Woldaregay, Eirik Årsand, Alain Giordanengo, David Albers, Lena Mamykina, Taxiarchis Botsis, Gunnar Hartvigsen
Title:
EDMON - A Wireless Communication Platform for a Real-Time Infectious Disease Outbreak De- tection System Using Self-Recorded Data from People with Type 1 Diabetes
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Proceedings from The 15th Scandinavian Conference on Health Informatics 2017 Kristiansand, Norway, August 29–30, 2017

Author:
Ashenafi Zebene Woldaregay, Eirik Årsand, Alain Giordanengo, David Albers, Lena Mamykina, Taxiarchis Botsis, Gunnar Hartvigsen
Title:
EDMON - A Wireless Communication Platform for a Real-Time Infectious Disease Outbreak De- tection System Using Self-Recorded Data from People with Type 1 Diabetes
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