Detecting unusual continuous glucose monitor measurements: A stochastic model approach

dc.contributor.authorSignal, M.K.
dc.contributor.authorHarris, D.L.
dc.contributor.authorWeston, P.J.
dc.contributor.authorLe Compte, A.J.
dc.contributor.authorChase, Geoff
dc.contributor.authorHarding, J.E. for the CHYLD Study Group
dc.date.accessioned2015-11-02T01:49:57Z
dc.date.available2015-11-02T01:49:57Z
dc.date.issued2012en
dc.identifier.citationSignal, M.K., Harris, D.L., Weston, P.J., Le Compte, A.J., Chase, J.G., Harding, J.E. for the CHYLD Study Group (2012) Detecting unusual continuous glucose monitor measurements: A stochastic model approach. Bethesda, MD, USA: 12th Annual Diabetes Technology Meeting (DTM2012), 8-10 Nov 2012. 1-page.en
dc.identifier.urihttp://hdl.handle.net/10092/11322
dc.language.isoen
dc.publisherUniversity of Canterbury. Mechanical Engineeringen
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subject.anzsrcField of Research::09 - Engineering::0903 - Biomedical Engineeringen
dc.subject.anzsrcFields of Research::32 - Biomedical and clinical sciences::3202 - Clinical sciences::320212 - Intensive careen
dc.titleDetecting unusual continuous glucose monitor measurements: A stochastic model approachen
dc.typeConference Contributions - Other
Files
Original bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
12641890_DTM - CGM poster.pptx
Size:
1.99 MB
Format:
Microsoft Powerpoint
No Thumbnail Available
Name:
12641890_SIGNAL12.doc
Size:
29.5 KB
Format:
Microsoft Word