Automated non-invasive detection of pumping states in an implantable rotary blood pump

Karantonis, Dean M., Cloherty, Shaun L., Mason, David Glen, Ayre, Peter J. and Lovell, Nigel H. (2006). Automated non-invasive detection of pumping states in an implantable rotary blood pump. In: 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: New York, NY, 30 August - 3 September 2006.. 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2006 (EMBS'06), New York, NY, U.S.A., (5386-5389). 30 August-3 September 2006. doi:10.1109/IEMBS.2006.259725


Author Karantonis, Dean M.
Cloherty, Shaun L.
Mason, David Glen
Ayre, Peter J.
Lovell, Nigel H.
Title of paper Automated non-invasive detection of pumping states in an implantable rotary blood pump
Conference name 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2006 (EMBS'06)
Conference location New York, NY, U.S.A.
Conference dates 30 August-3 September 2006
Proceedings title 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: New York, NY, 30 August - 3 September 2006.   Check publisher's open access policy
Journal name Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings   Check publisher's open access policy
Place of Publication New York, NY, U.S.A.
Publisher IEEE
Publication Year 2006
Sub-type Fully published paper
DOI 10.1109/IEMBS.2006.259725
ISBN 1424400325
9781424400324
ISSN 1557-170X
Start page 5386
End page 5389
Total pages 4
Language eng
Abstract/Summary With respect to rotary blood pumps used as left ventricular assist devices (LVADs), it is clinically important to control pump flow to avoid complications associated with over-or under-pumping of the native heart. By employing only the non-invasive observer of instantaneous pump impeller speed to assess flow dynamics, a number of physiologically significant pumping states may be detected. Based on a number of acute animal experiments, five such states were identified: regurgitant pump flow (PR), ventricular ejection (VE), non-opening of the aortic valve (ANO), and partial collapse (intermittent and continuous) of the ventricle wall (PVC-I and PVC-C). Two broader states, normal (corresponding to VE, ANO) and suction (corresponding to PVC-I, PVC-C) were readily discernable in clinical data from human patients implanted with LVADs. Based on data from both the animal experiments (N=6) and the human patients (N=10), a strategy for the automated non-invasive detection of significant pumping states has been developed and validated. Employing a classification and regression tree (CART), this system detects pumping states with a high degree of accuracy: state VE -87.5/100.0% (sensitivity/specificity); state ANO - 98.1/92.5%; state PVC-I - 90.0/90.2%; state PVC-C - 61.2/98.0%. With a simplified binary scheme differentiating suction and normal states, both states were detected without error in data from the animal experiments, and with a sensitivity/specificity, for detecting suction, of 99.2/98.3% in the human patient data
Subjects 0903 Biomedical Engineering
1102 Cardiovascular Medicine and Haematology
Keyword Rotary blood pumps
Left ventricular assist devices
Pumps
Cardiology
Haemodynamics
Q-Index Code E1

 
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Created: Wed, 02 Dec 2009, 20:37:46 EST by Michael Affleck on behalf of Faculty Of Engineering, Architecture & Info Tech