Processing aortic and pulmonary artery waveforms to derive the ventricle time-varying elastance

Type of content
Conference Contributions - Published
Thesis discipline
Degree name
Publisher
University of Canterbury. Electrical and Computer Engineering
University of Canterbury. Mechanical Engineering
Journal Title
Journal ISSN
Volume Title
Language
Date
2011
Authors
Stevenson, D.
Chase, Geoff
Hann, C.E.
Revie, J.A.
Shaw, Geoff
Desaive, T.
Lambermont, B.
Ghuysen, A.
Kolh, P.
Heldmann, S.
Abstract

Time-varying elastance of the ventricles is an important metric both clinically and as an input for a previously developed cardiovascular model. However, currently time-varying elastance is not normally available in an Intensive Care Unit (ICU) setting, as it is an invasive and ethically challenging metric to measure. A previous paper developed a method to map less invasive metrics to the driver function, enabling an estimate to be achieved without invasive measurements. This method requires reliable and accurate processing of the aortic and pulmonary artery pressure waveforms to locate the specific points that are required to estimate the driver function. This paper details the method by which these waveforms are processed, using a data set of five pigs induced with pulmonary embolism, and five pigs induced with septic shock (with haemofiltration), adding up to 88 waveforms (for each of aortic and pulmonary artery pressure), and 616 points in total to locate. 98.2% of all points were located to within 1% of their true value, 0.81% were between 1% and 5%, 0.65% were between 5% and 10%, the remaining 0.32% were below 20%.

Description
Citation
Stevenson, D., Chase, J.G., Hann, C.E., Revie, J.A., Shaw, G.M., Desaive, T., Lambermont, B., Ghuysen, A., Kolh, P., Heldmann, S. (2011) Processing aortic and pulmonary artery waveforms to derive the ventricle time-varying elastance. Milan, Italy: 18th World Congress of the International Federation of Automatic Control (IFAC 2011), 28 Aug-2 Sep 2011. 6pp.
Keywords
Cardiovascular system, Time-varying elastance, Model-based cardiac diagnosis, Pressure waveform, Signal Processing, Intensive Care Unit, Porcine model
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
Field of Research::09 - Engineering::0913 - Mechanical Engineering
Field of Research::09 - Engineering::0903 - Biomedical Engineering
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