NDLI: Modelling of the nonlinear end-systolic pressure-volume relation and volume-at-zero-pressure in porcine experiments

Content Provider	IEEE Xplore Digital Library
Author	Davidson, S.M. Kannangara, D.O. Pretty, C.G. Kamoi, S. Pironet, A. Desaive, T. Chase, J.G.
Copyright Year	2015
Description	Author affiliation: GIGA Cardiovascular Sci., Univ. of Liege, Liege, Belgium (Pironet, A.; Desaive, T.) \|\| Dept. of Mech. Eng., Univ. of Canterbury, Christchurch, New Zealand (Davidson, S.M.; Kannangara, D.O.; Pretty, C.G.; Kamoi, S.; Chase, J.G.)
Abstract	The End-Systolic Pressure-Volume Relation (ESPVR) is generally modelled as a linear relationship between P and V as cardiac reflexes, such as the baroreflex, are typically suppressed in experiments. However, ESPVR has been observed to behave in a curvilinear fashion when cardiac reflexes are not suppressed, suggesting the curvilinear function may be more clinically appropriate. Data was gathered from 41 vena cava occlusion manoeuvres performed experimentally at a variety of PEEPs across 6 porcine specimens, and ESPVR determined for each pig. An exponential model of ESPVR was found to provide a higher correlation coefficient than a linear model in 6 out of 7 cases, and a lower Akaike Information Criterion (AIC) value in all cases. Further, the exponential ESPVR provided positive $V_{0}$ values in a physiological range in 6 out of 7 cases analysed, while the linear ESPVR produced positive $V_{0}$ values in only 3 out of 7 cases, suggesting linear extrapolation of ESPVR to determine $V_{0}$ may be flawed.
Starting Page	6544
Ending Page	6547
File Size	724995
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7319892
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Physiology Correlation coefficient Data models Heart beat Solid modeling Biomedical monitoring
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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