CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
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authors Bermudez, J., Agutter, J., Westenskow, D., Foresti, S., Zhang, Y., Gondeck-Becker, D., Syroid, N., Lilly, B., Strayer, .D. and Drews, F.
year 2000
title Data Representation Architecture: Visualization Design Methods, Theory and Technology Applied to Anesthesiology
source Eternity, Infinity and Virtuality in Architecture [Proceedings of the 22nd Annual Conference of the Association for Computer-Aided Design in Architecture / 1-880250-09-8] Washington D.C. 19-22 October 2000, pp. 91-102
summary The explosive growth of scientific visualization in the past 10 years demonstrate a consistent and tacit agreement among scientists that visualization offers a better representation system for displaying complex data than traditional charting methods. However, most visualization works have not been unable to exploit the full potential of visualization techniques. The reason may be that these attempts have been largely executed by scientists. While they have the technical skills for conducting research, they do not have the design background that would allow them to display data in easy to understand formats. This paper presents the architectural methodology, theory, technology and products that are being employed in an ongoing multidisciplinary research in anesthesiology. The projectís main goal is to develop a new data representation technology to visualize physiologic information in real time. Using physiologic data, 3-D objects are generated in digital space that represent physiologic changes within the body and show functional relationships that aid in the detection, diagnosis, and treatment of critical events. Preliminary testing results show statistically significant reduction in detection times. The research outcome, potential, and recently received NIH grant supporting the teamís scientific methods all point to the contributions that architecture may offer to the growing field of data visualization.
series ACADIA
email bermudez@arch.utah.edu
full text file.pdf (327,176 bytes)
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