DocumentCode
1823595
Title
Continuous Ejection Fraction Estimation by Model-Based Analysis of an Aortic Pressure Waveform: Comparison to Echocardiography
Author
Swamy, G. ; Olivier, Bistorin ; Kuiper, J. ; Mukkamala, R.
Author_Institution
Michigan State Univ., East Lansing
fYear
2007
fDate
22-26 Aug. 2007
Firstpage
963
Lastpage
966
Abstract
Left ventricular ejection fraction (EF) is perhaps the most clinically significant index of global ventricular function. EF is measured in clinical practice using imaging methods such as non-invasive echocardiography. However, imaging methods generally require a skilled operator and expensive equipment. Thus, EF is not sufficiently monitored. To this end, we have recently developed a novel technique to continuously (i.e., automatically) estimate EF by model-based analysis of an aortic pressure waveform. Here, we review the technique and present its evaluation with respect to reference echocardiography measurements from three dogs during diverse interventions. We report an overall EF error of only 8.3%. With further successful testing, the technique may ultimately be utilized for continuous EF monitoring in research and clinical settings in which an aortic catheter is employed.
Keywords
biomedical measurement; echocardiography; haemodynamics; aortic pressure waveform; echocardiography; ejection fraction estimation; Biomedical monitoring; Blood pressure; Catheters; Coronary arteriosclerosis; Dogs; Echocardiography; Image analysis; Jacobian matrices; Magnetic resonance imaging; Volume measurement; Animals; Aorta; Blood Pressure; Blood Pressure Determination; Computer Simulation; Diagnosis, Computer-Assisted; Dogs; Echocardiography; Models, Cardiovascular; Reproducibility of Results; Sensitivity and Specificity; Stroke Volume;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location
Lyon
ISSN
1557-170X
Print_ISBN
978-1-4244-0787-3
Type
conf
DOI
10.1109/IEMBS.2007.4352452
Filename
4352452
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