Reference : Processing aortic and pulmonary artery waveforms to derive the ventricle time-varying el...
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Engineering, computing & technology : Multidisciplinary, general & others
http://hdl.handle.net/2268/132099
Processing aortic and pulmonary artery waveforms to derive the ventricle time-varying elastance
English
Stevenson, D. J. [Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand]
Hann, C. E. [Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand]
Chase, G. J. [Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand]
Revie, J. [Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand]
Shaw, G. M. [Department of Intensive Care, Christchurch Hospital, Christchurch, New Zealand]
Desaive, Thomas mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles >]
LAMBERMONT, Bernard mailto [Centre Hospitalier Universitaire de Liège - CHU > > Frais communs médecine >]
GHUYSEN, Alexandre mailto [Centre Hospitalier Universitaire de Liège - CHU > > Urgences >]
Kolh, Philippe mailto [Université de Liège - ULg > Département des sciences biomédicales et précliniques > Biochimie et physiologie générales, humaines et path. >]
Heldmann, S. [Department of Mechanical Engineering, TU Darmstadt, Germany]
2011
IFAC Proceedings Volumes (IFAC-PapersOnline)
18
PART 1
587-592
Yes
International
14746670
18th IFAC World Congress
28 August 2011 through 2 September 2011
Milano
[en] Cardiovascular system ; Intensive Care Unit ; Model-based cardiac diagnosis ; Porcine model ; Pressure waveform ; Signal Processing ; Time-varying elastance
[en] 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%.© 2011 IFAC.
http://hdl.handle.net/2268/132099
10.3182/20110828-6-IT-1002.02661
86642
9783902661937

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