Robust preprocessing of time series with trends

Abstract
Physiological time series measured in intensive care exhibit trends, level changes and periods of relative constancy. This signal is overlaid with a high level of noise and many measurement artifacts, and there are dependencies between the different items measured. We develop a method which allows a reliable denoising of the data and which can separate artifacts from relevant changes in the patients condition. For clinical online application the method has to be automatized and work in real time.
  • Citation
  • BibTeX
Fried, R. & Gather, U., (2002). Robust preprocessing of time series with trends. In: Schubert, S. E., Reusch, B. & Jesse, N. (Hrsg.), Informatik bewegt: Informatik 2002 - 32. Jahrestagung der Gesellschaft für Informatik e.v. (GI). Bonn: Gesellschaft für Informatik e.V.. (S. 793-798).
@inproceedings{mci/Fried2002,
author = {Fried, Roland AND Gather, Ursula},
title = {Robust preprocessing of time series with trends},
booktitle = {Informatik bewegt: Informatik 2002 - 32. Jahrestagung der Gesellschaft für Informatik e.v. (GI)},
year = {2002},
editor = {Schubert, Sigrid E. AND Reusch, Bernd AND Jesse, Norbert} ,
pages = { 793-798 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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ISBN: 3-88579-348-2
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2002
Language: en (en)
Content Type: Text/Conference Paper
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