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dc.contributor.authorKamaleswaran, Rishikesanen_US
dc.contributor.authorCollins, Christopheren_US
dc.contributor.authorJames, Andrewen_US
dc.contributor.authorMcGregor, Carolynen_US
dc.contributor.editorKwan-Liu Ma and Giuseppe Santucci and Jarke van Wijken_US
dc.date.accessioned2016-06-09T09:32:55Z
dc.date.available2016-06-09T09:32:55Z
dc.date.issued2016en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.12909en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10
dc.description.abstractIn this work, we introduce a novel visualization technique, the Temporal Intensity Map, which visually integrates data values over time to reveal the frequency, duration, and timing of significant features in streaming data. We combine the Temporal Intensity Map with several coordinated visualizations of detected events in data streams to create PhysioEx, a visual dashboard for multiple heterogeneous data streams. We have applied PhysioEx in a design study in the field of neonatal medicine, to support clinical researchers exploring physiologic data streams. We evaluated our method through consultations with domain experts. Results show that our tool provides deep insight capabilities, supports hypothesis generation, and can be well integrated into the workflow of clinical researchers.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectH.5.2 [Information Interfaces and Presentation]en_US
dc.subjectUser Interfacesen_US
dc.subjectGraphical user interfacesen_US
dc.subjectJ.3 [Life and Medical Sciences]en_US
dc.subjectMedical information systemsen_US
dc.titlePhysioEx: Visual Analysis of Physiological Event Streamsen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.sectionheadersTime Series Data and Sequencesen_US
dc.description.volume35en_US
dc.description.number3en_US
dc.identifier.doi10.1111/cgf.12909en_US
dc.identifier.pages331-340en_US


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