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PhysioEx: Visual Analysis of Physiological Event Streams
Author(s) -
Kamaleswaran Rishikesan,
Collins Christopher,
James Andrew,
McGregor Carolyn
Publication year - 2016
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.12909
Subject(s) - computer science , workflow , data stream mining , visualization , streams , dashboard , event (particle physics) , data mining , data visualization , field (mathematics) , domain (mathematical analysis) , real time computing , artificial intelligence , data science , database , computer network , mathematical analysis , physics , mathematics , quantum mechanics , pure mathematics
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.