Interactive Visualisation of Time-Based Vital Signs

Rhys Tague; Anthony Maeder; Quang Vinh Nguyen

Interactive Visualisation of Time-Based Vital Signs

Rhys Tague, Anthony Maeder, Quang Vinh Nguyen

School of Computer, Data & Mathematical Sciences

Research output: Chapter in Book / Conference Paper › Chapter

2 Citations (Scopus)

Abstract

Vital signs interpretation is an important element of patient monitoring. The use of visualisation could enhance this interpretation. We present a model for time-based visual analytics visualisation of vital signs. Our model allows for multiple vital signs to be charted along a time-based axis. The patient management care team then can apply lenses to alter the view being presented of the data, allowing the viewer to understand the meaning and improve the interpretation. The lenses applied will allow for generalisation, refinement, and traversing.

Original language	English
Title of host publication	Advances in Visual Computing. Vol. 2
Editors	George Bebis, Richard Boyle, David Kao, Lisa Avila, Bahram Parvin, Darko Koracin, Ronald Chung, Riad Hammound, Muhammad Hussain, Kar-Han Tan, Roger Crawfis, Daniel Thalmann
Place of Publication	Germany
Publisher	Springer
Pages	545-553
Number of pages	9
ISBN (Print)	9783642172731
Publication status	Published - 2010

Keywords

visualisation
vital signs

Cite this

Tague, Rhys ; Maeder, Anthony ; Nguyen, Quang Vinh. / Interactive Visualisation of Time-Based Vital Signs. Advances in Visual Computing. Vol. 2. editor / George Bebis ; Richard Boyle ; David Kao ; Lisa Avila ; Bahram Parvin ; Darko Koracin ; Ronald Chung ; Riad Hammound ; Muhammad Hussain ; Kar-Han Tan ; Roger Crawfis ; Daniel Thalmann. Germany : Springer, 2010. pp. 545-553

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Interactive Visualisation of Time-Based Vital Signs. / Tague, Rhys; Maeder, Anthony; Nguyen, Quang Vinh.
Advances in Visual Computing. Vol. 2. ed. / George Bebis; Richard Boyle; David Kao; Lisa Avila; Bahram Parvin; Darko Koracin; Ronald Chung; Riad Hammound; Muhammad Hussain; Kar-Han Tan; Roger Crawfis; Daniel Thalmann. Germany: Springer, 2010. p. 545-553.

Research output: Chapter in Book / Conference Paper › Chapter

TY - CHAP

T1 - Interactive Visualisation of Time-Based Vital Signs

AU - Tague, Rhys

AU - Maeder, Anthony

AU - Nguyen, Quang Vinh

PY - 2010

Y1 - 2010

N2 - Vital signs interpretation is an important element of patient monitoring. The use of visualisation could enhance this interpretation. We present a model for time-based visual analytics visualisation of vital signs. Our model allows for multiple vital signs to be charted along a time-based axis. The patient management care team then can apply lenses to alter the view being presented of the data, allowing the viewer to understand the meaning and improve the interpretation. The lenses applied will allow for generalisation, refinement, and traversing.

AB - Vital signs interpretation is an important element of patient monitoring. The use of visualisation could enhance this interpretation. We present a model for time-based visual analytics visualisation of vital signs. Our model allows for multiple vital signs to be charted along a time-based axis. The patient management care team then can apply lenses to alter the view being presented of the data, allowing the viewer to understand the meaning and improve the interpretation. The lenses applied will allow for generalisation, refinement, and traversing.

KW - visualisation

KW - vital signs

UR - http://handle.uws.edu.au:8081/1959.7/504052

M3 - Chapter

SN - 9783642172731

SP - 545

EP - 553

BT - Advances in Visual Computing. Vol. 2

A2 - Bebis, George

A2 - Boyle, Richard

A2 - Kao, David

A2 - Avila, Lisa

A2 - Parvin, Bahram

A2 - Koracin, Darko

A2 - Chung, Ronald

A2 - Hammound, Riad

A2 - Hussain, Muhammad

A2 - Tan, Kar-Han

A2 - Crawfis, Roger

A2 - Thalmann, Daniel

PB - Springer

CY - Germany

ER -

Interactive Visualisation of Time-Based Vital Signs

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