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W2E-–Wellness Warehouse Engine for Semantic Interoperability of Consumer Health Data

Honko, Harri ; Andalibi, Vafa ; Aaltonen, Timo ; Parak, Jakub ; Saaranen, Mika ; Viik, Jari ; Korhonen, Ilkka

IEEE journal of biomedical and health informatics, 2016-11, Vol.20 (6), p.1632-1639 [Periódico revisado por pares]

United States: IEEE

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Título:
W2E-–Wellness Warehouse Engine for Semantic Interoperability of Consumer Health Data
Autor: Honko, Harri ; Andalibi, Vafa ; Aaltonen, Timo ; Parak, Jakub ; Saaranen, Mika ; Viik, Jari ; Korhonen, Ilkka
Assuntos: Adult ; Algorithms ; Application programming interface ; Bioinformatics ; Biomedical measurement ; Biomedical monitoring ; Consumers ; Data exchange ; Data processing ; Data unification ; Data warehouses ; data warehousing ; Databases, Factual ; energy expenditure (EE) ; Exercise ; Female ; Fitness Trackers ; Health care ; Humans ; Informatics ; Information Storage and Retrieval - methods ; Interfaces ; Interoperability ; Male ; physical activity ; semantic interoperability ; Semantics ; Web services ; Young Adult
É parte de: IEEE journal of biomedical and health informatics, 2016-11, Vol.20 (6), p.1632-1639
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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Descrição: Novel health monitoring devices and applications allow consumers easy and ubiquitous ways to monitor their health status. However, technologies from different providers lack both technical and semantic interoperability and hence the resulting health data are often deeply tied to a specific service, which is limiting its reusability and utilization in different services. We have designed a Wellness Warehouse Engine (W2E) that bridges this gap and enables seamless exchange of data between different services. W2E provides interfaces to various data sources and makes data available via unified representational state transfer application programming interface to other services. Importantly, it includes Unifier--an engine that allows transforming input data into generic units reusable by other services, and Analyzer--an engine that allows advanced analysis of input data, such as combining different data sources into new output parameters. In this paper, we describe the architecture of W2E and demonstrate its applicability by using it for unifying data from four consumer activity trackers, using a test base of 20 subjects each carrying out three different tracking sessions. Finally, we discuss challenges of building a scalable Unifier engine for the ever-enlarging number of new devices.
Editor: United States: IEEE
Idioma: Inglês

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W2E-–Wellness Warehouse Engine for Semantic Interoperability of Consumer Health Data

Honko, Harri ; Andalibi, Vafa ; Aaltonen, Timo ; Parak, Jakub ; Saaranen, Mika ; Viik, Jari ; Korhonen, Ilkka

United States: IEEE

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