View source for Publications:A Database-Centric Architecture for Home-Based Health Monitoring

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{{PublicationSetupTemplate|Author=Wagner Ourique de Morais, Jens Lundström, Nicholas Wickström
|PID=711609
|Name=Ourique de Morais, Wagner [wagdem] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938], Inbyggda system (CERES) [3939]);Lundström, Jens [jenlun] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938], CAISR Centrum för tillämpade intelligenta system (IS-lab) [13650]);Wickström, Nicholas [nicholas] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938], CAISR Centrum för tillämpade intelligenta system (IS-lab) [13650])
|Title=A Database-Centric Architecture for Home-Based Health Monitoring
|PublicationType=Book Chapter
|ContentType=Refereegranskat
|Language=eng
|Journal=
|JournalISSN=
|Status=
|Volume=8277
|Issue=
|HostPublication=Ambient Assisted Living and Active Aging : 5th International Work-Conference, IWAAL 2013, Carrillo, Costa Rica, December 2-6, 2013, Proceedings
|Conference=
|StartPage=26
|EndPage=34
|Year=2013
|Edition=
|Pages=
|City=Heidelberg, Germany
|Publisher=Springer
|Series=Lecture Notes in Computer Science ; Vol. 8277
|SeriesISSN=0302-9743
|ISBN=978-3-319-03091-3;978-3-319-03092-0
|Urls=http://dx.doi.org/10.1007/978-3-319-03092-0_4
|ISRN=
|DOI=http://dx.doi.org/10.1007/978-3-319-03092-0_4
|ISI=
|PMID=
|ScopusId=2-s2.0-84893927504
|NBN=urn:nbn:se:hh:diva-25012
|LocalId=
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|Keywords=Healthcare technology;ambient assisted living;active data-bases;in-database processing;machine learning
|Categories=Elektroteknik och elektronik (202)
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|Abstract=<p>Traditionally, database management systems (DBMSs) have been employed exclusively for data management in infrastructures supporting Ambient Assisted Living (AAL) systems. However, DBMSs provide other mechanisms, such as for security, dependability, and extensibility that can facilitate the development, use, and maintenance of AAL applications. This work utilizes such mechanisms, particularly extensibility, and proposes a database-centric architecture to support home-based healthcare applications. An active database is used to monitor and respond to events taking place in the home, such as bed-exits. In-database data mining methods are applied to model early night behaviors of people living alone. Encapsulating the processing into the DBMS avoids transferring and processing sensitive data outside of database, enables changes in the logic to be managed on-the-fly, and reduces code duplication. As a result, such an approach leads to better performance and increased security and privacy, and can facilitate the adaptability and scalability of AAL systems. An evaluation of the architecture with datasets collected in real homes demonstrated the feasibility and flexibility of the approach.</p>
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|CreatedDate=2014-04-10
|PublicationDate=2014-04-10
|LastUpdated=2014-04-24
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:711609}}
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