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    PhysioEx: Visual Analysis of Physiological Event Streams

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    Date
    2016
    Author
    Kamaleswaran, Rishikesan
    Collins, Christopher
    James, Andrew
    McGregor, Carolyn
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    Abstract
    In 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.
    BibTeX
    @article {10.1111:cgf.12909,
    journal = {Computer Graphics Forum},
    title = {{PhysioEx: Visual Analysis of Physiological Event Streams}},
    author = {Kamaleswaran, Rishikesan and Collins, Christopher and James, Andrew and McGregor, Carolyn},
    year = {2016},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.12909}
    }
    URI
    http://dx.doi.org/10.1111/cgf.12909
    https://diglib.eg.org:443/handle/10
    Collections
    • 35-Issue 3
    • EuroVis16: Eurographics Conference on Visualization

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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA