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

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Original languageEnglish
JournalIEEE Journal of Biomedical and Health Informatics
Publication statusPublished - 2015
Publication typeA1 Journal article-refereed


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 is often deeply tied to a specific service,
which is limiting its re-usability 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 (REST API) to other services. Importantly, it includes
Unifier – an engine that allows transforming input data into
generic units re-usable 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.

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