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Towards symbolization using data-driven extraction of local trends for ICU monitoring

Authors
  • Calvelo Aros, Daniel
  • Chambrin, M.C.
  • Pomorski, Denis
  • Ravaux, Pierre
Publication Date
Jan 01, 2000
Source
HAL-UPMC
Keywords
Language
English
License
Unknown
External links

Abstract

We propose a methodology for the extraction of local trends from a stream of data. It has been designed to suit the needs of interpretation-oriented visualization and symbolization from ICU monitoring data. After giving implementation details for efficient computation of local trends, we propose the use of a characteristic analysis span for each variable. This characteristic span is obtained from a set of criteria that we compare and evaluate in regardof analysis of ICU monitoring data gathered within the Aiddaig project. The processing results in a rich visual representation and a framework for the local symbolization of the data stream based on its dynamics.

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