An analysis of variance type method to describe and compare steady states in clinical data

Ziaian, Dammon; Zimmermann, Stefan; Dümbgen, Lutz; Berggreen, Astrid E; Grossherr, Martin; Gehring, Hartmut; Hengstenberg, Andreas (2013). An analysis of variance type method to describe and compare steady states in clinical data. In: The 4th International Conference on E-Health and Bioengineering - EHB 2013 (pp. 1-4). IEEE 10.1109/EHB.2013.6707416

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Identifying and comparing different steady states is an important task for clinical decision making. Data from unequal sources, comprising diverse patient status information, have to be interpreted. In order to compare results an expressive representation is the key. In this contribution we suggest a criterion to calculate a context-sensitive value based on variance analysis and discuss its advantages and limitations referring to a clinical data example obtained during anesthesia. Different drug plasma target levels of the anesthetic propofol were preset to reach and maintain clinically desirable steady state conditions with target controlled infusion (TCI). At the same time systolic blood pressure was monitored, depth of anesthesia was recorded using the bispectral index (BIS) and propofol plasma concentrations were determined in venous blood samples. The presented analysis of variance (ANOVA) is used to quantify how accurately steady states can be monitored and compared using the three methods of measurement.

Item Type:

Conference or Workshop Item (Paper)


08 Faculty of Science > Department of Mathematics and Statistics > Institute of Mathematical Statistics and Actuarial Science

UniBE Contributor:

Dümbgen, Lutz


500 Science > 510 Mathematics
600 Technology > 610 Medicine & health








Lutz Dümbgen

Date Deposited:

01 Apr 2014 03:25

Last Modified:

05 Dec 2022 14:28

Publisher DOI:



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