Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2013 E-Health and Bioengineering Conference (EHB) |
| Seitenumfang | 4 |
| ISBN (elektronisch) | 9781479923731, 9781479923724 |
| Publikationsstatus | Veröffentlicht - 9 Jan. 2014 |
| Veranstaltung | 4th IEEE International Conference on e-Health and Bioengineering - Iasi, Rumänien Dauer: 21 Nov. 2013 → 23 Nov. 2013 Konferenznummer: 4 https://www.ehealthnews.eu/events/3670-ieee-international-conference-on-e-health-and-bioengineering-ehb-2013 |
Abstract
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.
ASJC Scopus Sachgebiete
- Chemische Verfahrenstechnik (insg.)
- Bioengineering
- Medizin (insg.)
- Gesundheitsinformatik
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2013 E-Health and Bioengineering Conference (EHB). 2014.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - An analysis of variance type method to describe and compare steady states in clinical data
AU - Ziaian, Dammon
AU - Zimmermann, Stefan
AU - Duembgen, Lutz
AU - Berggreen, Astrid E.
AU - Grossherr, Martin
AU - Gehring, Hartmut
AU - Hengstenberg, Andreas
N1 - Conference code: 4
PY - 2014/1/9
Y1 - 2014/1/9
N2 - 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.
AB - 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.
KW - ANOVA
KW - BIS
KW - propofol
KW - steady state
KW - TCI
UR - http://www.scopus.com/inward/record.url?scp=84893762701&partnerID=8YFLogxK
U2 - 10.1109/EHB.2013.6707416
DO - 10.1109/EHB.2013.6707416
M3 - Conference contribution
AN - SCOPUS:84893762701
BT - 2013 E-Health and Bioengineering Conference (EHB)
T2 - 4th IEEE International Conference on e-Health and Bioengineering
Y2 - 21 November 2013 through 23 November 2013
ER -