Data Fusion and Aggregation Methods for Pre-Processing Ambulatory Monitoring and Remote Sensor Data for Upload to Personal Electronic Health Records

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dc.contributor.author Moulton, Bruce en_US
dc.contributor.author Chaczko, Zenon en_US
dc.contributor.author Karatovic, Mark en_US
dc.contributor.editor en_US
dc.date.accessioned 2010-05-28T09:57:38Z
dc.date.available 2010-05-28T09:57:38Z
dc.date.issued 2009 en_US
dc.identifier 2009001033 en_US
dc.identifier.citation Moulton Bruce, Chaczko Zenon, and Karatovic Mark 2009, 'Data Fusion and Aggregation Methods for Pre-Processing Ambulatory Monitoring and Remote Sensor Data for Upload to Personal Electronic Health Records', Advanced Institute of Convergence IT, vol. 3, no. 4, pp. 120-127. en_US
dc.identifier.issn 1975-9339 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/10596
dc.description.abstract Several countries including Australia are developing standards for personal electronic health records, and in many cases the standards provide ways for patients to upload data from their own sensor systems to their electronic health records. This article explores issues relating to the design of systems where electronic medical records are updated with data or meta-data from in-home or on-body health monitoring sensor systems. A prototype system was designed, implemented and subsequently evaluated in a way intended to further understanding regarding collection and transfer of sensor data to an electronic health record. A key issue that arose was the extent to which levels of confidence in the data may be affected by the type, quality, installation, maintenance and calibration of the sensors. en_US
dc.language en_US
dc.publisher Advanced Institute of Convergence IT en_US
dc.title Data Fusion and Aggregation Methods for Pre-Processing Ambulatory Monitoring and Remote Sensor Data for Upload to Personal Electronic Health Records en_US
dc.parent International Journal of Digital Content Technology a... en_US
dc.journal.volume 3 en_US
dc.journal.number 4 en_US
dc.publocation United States en_US
dc.identifier.startpage 120 en_US
dc.identifier.endpage 127 en_US
dc.cauo.name FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.for 200102 en_US
dc.personcode 010755 en_US
dc.personcode 011197 en_US
dc.personcode 0000058616 en_US
dc.percentage 100 en_US
dc.classification.name Communication Technology and Digital Media Studies en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords Electronic health records, Ambulatory monitoring, personal health sensors, data fusion en_US
dc.staffid en_US


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