DocumentCode
2075027
Title
Model-based estimation of blood pressure response to epinephrine
Author
Bighamian, Ramin ; Reisner, Andrew T. ; Hahn, Juergen
Author_Institution
Dept. of Mech. Eng., Univ. of Alberta, Edmonton, AB, Canada
fYear
2012
fDate
Aug. 28 2012-Sept. 1 2012
Firstpage
223
Lastpage
226
Abstract
In this study, we present a model-based approach to estimation of blood pressure (BP) response to epinephrine. The proposed approach estimates systolic (SBP), mean (MAP) and diastolic (DBP) BP based on a 2-parameter windkessel (WK) model with dose-dependent total peripheral resistance (TPR), arterial compliance (AC) and stroke volume (SV) indices that is driven by the epinephrine dose, heart rate (HR). Using the epinephrine dose and hemodynamic response data collected for young/old normotensive and hypertensive subject groups, four group-specific models as well as a generalized model were developed and then were evaluated for BP estimation performance. The results indicated that the group-specific model is superior to its generalized counterpart; on average, the root-mean-squared SBP, MAP and DBP estimation errors associated with the group-specific model were only 34%, 52% and 69%, respectively, compared with the generalized model.
Keywords
blood pressure measurement; blood vessels; drugs; 2-parameter windkessel model; MAP; SBP; arterial compliance; diastolic blood pressure; epinephrine dose; heart rate; hemodynamic response; hypertensive subject groups; mean blood pressure; normotensive subject groups; stroke volume; systolic blood pressure; total peripheral resistance; Biomedical monitoring; Data models; Drugs; Estimation; Hemodynamics; Integrated circuit modeling; Polynomials; Adult; Blood Pressure; Epinephrine; Female; Humans; Hypertension; Male; Middle Aged; Models, Cardiovascular; Stroke Volume; Vasoconstrictor Agents;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location
San Diego, CA
ISSN
1557-170X
Print_ISBN
978-1-4244-4119-8
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/EMBC.2012.6345910
Filename
6345910
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