Kaleidomap visualizations of cardiovascular function in critical care medicine

Kim Bale; Paul Chapman; Jon Purdy; Nizamettin Aydin; Paul Dark

doi:10.1109/MEDIVIS.2006.19

Kaleidomap visualizations of cardiovascular function in critical care medicine

Kim Bale, Paul Chapman, Jon Purdy, Nizamettin Aydin, Paul Dark

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper we consider how the use of Kaleidomaps can facilitate our understanding and interpretation of large complex multivariate medical datasets relating to cardiovascular function in critical care medicine. Kaleidomaps are a new technique for the visualization of multivariate time-series data. They build upon the classic cascade plot and use the curvature of a line to enhance the detection of periodic patterns within multivariate dual-periodicity datasets. Kaleidomaps keep user interaction to a minimum, facilitating the rapid identification of periodic patterns not only within their own variants but also across many different sets of the variants. By linking this technique with traditional line graphs and signal processing techniques, we are able to provide medical experts with a set of visualization tools that permit the combination of medical datasets in their raw form and also with the results of mathematical analysis. © 2006 IEEE.

Original language	English
Title of host publication	Proceedings - International Conference on Medical Information Visualisation - BioMedical Visualisation, MediVis 2006\|Proc. Int. Conf. Med. Info. Vis. BioMed. Vis.
Publisher	IEEE Computer Society
Pages	51-56
Number of pages	5
ISBN (Print)	0769526039, 9780769526034
DOIs	https://doi.org/10.1109/MEDIVIS.2006.19
Publication status	Published - 2006
Event	International Conference on Medical Information Visualisation - BioMedical Visualisation, MediVis 2006 - London Duration: 1 Jul 2006 → …

Conference

Conference	International Conference on Medical Information Visualisation - BioMedical Visualisation, MediVis 2006
City	London
Period	1/07/06 → …

Keywords

Data mining
Information visualization
Kaleidomaps
Multivariate time-series data

Access to Document

10.1109/MEDIVIS.2006.19

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Bale, K., Chapman, P., Purdy, J., Aydin, N., & Dark, P. (2006). Kaleidomap visualizations of cardiovascular function in critical care medicine. In Proceedings - International Conference on Medical Information Visualisation - BioMedical Visualisation, MediVis 2006|Proc. Int. Conf. Med. Info. Vis. BioMed. Vis. (pp. 51-56). IEEE Computer Society . https://doi.org/10.1109/MEDIVIS.2006.19

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title = "Kaleidomap visualizations of cardiovascular function in critical care medicine",

abstract = "In this paper we consider how the use of Kaleidomaps can facilitate our understanding and interpretation of large complex multivariate medical datasets relating to cardiovascular function in critical care medicine. Kaleidomaps are a new technique for the visualization of multivariate time-series data. They build upon the classic cascade plot and use the curvature of a line to enhance the detection of periodic patterns within multivariate dual-periodicity datasets. Kaleidomaps keep user interaction to a minimum, facilitating the rapid identification of periodic patterns not only within their own variants but also across many different sets of the variants. By linking this technique with traditional line graphs and signal processing techniques, we are able to provide medical experts with a set of visualization tools that permit the combination of medical datasets in their raw form and also with the results of mathematical analysis. {\textcopyright} 2006 IEEE.",

keywords = "Data mining, Information visualization, Kaleidomaps, Multivariate time-series data",

author = "Kim Bale and Paul Chapman and Jon Purdy and Nizamettin Aydin and Paul Dark",

year = "2006",

doi = "10.1109/MEDIVIS.2006.19",

language = "English",

isbn = "0769526039",

pages = "51--56",

booktitle = "Proceedings - International Conference on Medical Information Visualisation - BioMedical Visualisation, MediVis 2006|Proc. Int. Conf. Med. Info. Vis. BioMed. Vis.",

publisher = "IEEE Computer Society ",

address = "United States",

note = "International Conference on Medical Information Visualisation - BioMedical Visualisation, MediVis 2006 ; Conference date: 01-07-2006",

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Bale, K, Chapman, P, Purdy, J, Aydin, N & Dark, P 2006, Kaleidomap visualizations of cardiovascular function in critical care medicine. in Proceedings - International Conference on Medical Information Visualisation - BioMedical Visualisation, MediVis 2006|Proc. Int. Conf. Med. Info. Vis. BioMed. Vis.. IEEE Computer Society , pp. 51-56, International Conference on Medical Information Visualisation - BioMedical Visualisation, MediVis 2006, London, 1/07/06. https://doi.org/10.1109/MEDIVIS.2006.19

Kaleidomap visualizations of cardiovascular function in critical care medicine. / Bale, Kim; Chapman, Paul; Purdy, Jon et al.
Proceedings - International Conference on Medical Information Visualisation - BioMedical Visualisation, MediVis 2006|Proc. Int. Conf. Med. Info. Vis. BioMed. Vis.. IEEE Computer Society , 2006. p. 51-56.

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Kaleidomap visualizations of cardiovascular function in critical care medicine

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AU - Chapman, Paul

AU - Purdy, Jon

AU - Aydin, Nizamettin

AU - Dark, Paul

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N2 - In this paper we consider how the use of Kaleidomaps can facilitate our understanding and interpretation of large complex multivariate medical datasets relating to cardiovascular function in critical care medicine. Kaleidomaps are a new technique for the visualization of multivariate time-series data. They build upon the classic cascade plot and use the curvature of a line to enhance the detection of periodic patterns within multivariate dual-periodicity datasets. Kaleidomaps keep user interaction to a minimum, facilitating the rapid identification of periodic patterns not only within their own variants but also across many different sets of the variants. By linking this technique with traditional line graphs and signal processing techniques, we are able to provide medical experts with a set of visualization tools that permit the combination of medical datasets in their raw form and also with the results of mathematical analysis. © 2006 IEEE.

AB - In this paper we consider how the use of Kaleidomaps can facilitate our understanding and interpretation of large complex multivariate medical datasets relating to cardiovascular function in critical care medicine. Kaleidomaps are a new technique for the visualization of multivariate time-series data. They build upon the classic cascade plot and use the curvature of a line to enhance the detection of periodic patterns within multivariate dual-periodicity datasets. Kaleidomaps keep user interaction to a minimum, facilitating the rapid identification of periodic patterns not only within their own variants but also across many different sets of the variants. By linking this technique with traditional line graphs and signal processing techniques, we are able to provide medical experts with a set of visualization tools that permit the combination of medical datasets in their raw form and also with the results of mathematical analysis. © 2006 IEEE.

KW - Data mining

KW - Information visualization

KW - Kaleidomaps

KW - Multivariate time-series data

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DO - 10.1109/MEDIVIS.2006.19

M3 - Conference contribution

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SN - 9780769526034

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BT - Proceedings - International Conference on Medical Information Visualisation - BioMedical Visualisation, MediVis 2006|Proc. Int. Conf. Med. Info. Vis. BioMed. Vis.

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T2 - International Conference on Medical Information Visualisation - BioMedical Visualisation, MediVis 2006

Y2 - 1 July 2006

ER -

Kaleidomap visualizations of cardiovascular function in critical care medicine

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Conference

Keywords

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