THE-MUSS: Mobile u-health service system

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dc.contributor.authorHan, Dong-Sooko
dc.contributor.authorLee, Min-Kyuko
dc.contributor.authorPark, Sung-Joonko
dc.date.accessioned2013-08-08T05:28:22Z-
dc.date.available2013-08-08T05:28:22Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2010-02-
dc.identifier.citationCOMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v.97, no.2, pp.178 - 188-
dc.identifier.issn0169-2607-
dc.identifier.urihttp://hdl.handle.net/10203/174461-
dc.description.abstractin this paper, we introduce a mobile u-health service system called THE-MUSS. THE-MUSS supports the development and running of u-health services with functions, modules, and facilities that are commonly required for various mobile u-health services. Aiming to achieve reusability and evolvability design goals, basic modules to support bio-signal capturing, processing, analysis, diagnosis, and feedback are developed and stacked in the layered architecture of THE-MUSS. A U-health service platform, design tool, portal, and matrix-based disease group identification method are the major components constituting the THE-MUSS architecture. We confirmed that THE-MUSS is practically useful for mobile u-health services by developing mobile stress and weight management services on THE-MUSS. The more u-health services are developed in THE-MUSS, the better services it can provide in the future. (C) 2009 Elsevier Ireland Ltd. All rights reserved.-
dc.languageEnglish-
dc.publisherELSEVIER IRELAND LTD-
dc.titleTHE-MUSS: Mobile u-health service system-
dc.typeArticle-
dc.identifier.wosid000275524400007-
dc.identifier.scopusid2-s2.0-75049083056-
dc.type.rimsART-
dc.citation.volume97-
dc.citation.issue2-
dc.citation.beginningpage178-
dc.citation.endingpage188-
dc.citation.publicationnameCOMPUTER METHODS AND PROGRAMS IN BIOMEDICINE-
dc.identifier.doi10.1016/j.cmpb.2009.08.004-
dc.contributor.localauthorHan, Dong-Soo-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorTHE-MUSS-
dc.subject.keywordAuthorDCAP-
dc.subject.keywordAuthorMobile u-health-
dc.subject.keywordAuthorService platform-
dc.subject.keywordAuthorPrediction method-
dc.subject.keywordAuthorData mining-
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