PhysioEx

Visual Analysis of Physiological Event Streams

Rishikesan Kamaleswaran, Christopher Collins, Andrew James, Carolyn McGregor

Research output: Contribution to journalArticle

3 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)331-340
Number of pages10
JournalComputer Graphics Forum
Volume35
Issue number3
DOIs
StatePublished - Jun 1 2016
Externally publishedYes

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Visualization
Medicine

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design

Cite this

PhysioEx : Visual Analysis of Physiological Event Streams. / Kamaleswaran, Rishikesan; Collins, Christopher; James, Andrew; McGregor, Carolyn.

In: Computer Graphics Forum, Vol. 35, No. 3, 01.06.2016, p. 331-340.

Research output: Contribution to journalArticle

Kamaleswaran, Rishikesan ; Collins, Christopher ; James, Andrew ; McGregor, Carolyn. / PhysioEx : Visual Analysis of Physiological Event Streams. In: Computer Graphics Forum. 2016 ; Vol. 35, No. 3. pp. 331-340.
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