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Additional Hemodynamic measurements with the Esophageal Doppler monitor
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Journal of Bioengineering & Biomedical Science

ISSN: 2155-9538

Open Access

Additional Hemodynamic measurements with the Esophageal Doppler monitor


International Conference on Significant Advances in Biomedical Engineering

April 27-29, 2015 Philadelphia, USA

Glen Atlas

Scientific Tracks Abstracts: J Bioengineer & Biomedical

Abstract :

The Esophageal Doppler Monitor (EDM) has traditionally been used for the minimally-invasive and continuous assessment of both cardiac output and intravascular volume. These measurements are based upon a beat-to-beat analysis of the velocity of distal thoracic aortic blood flow. The purpose of this paper is to compare the different mathematical models of LV contractile function which could utilize the EDM. These include velocity-based models: Peak velocity, (PV); ejection fraction, EF, EF; and maximum LV radial shortening velocity, max|dR/dt|. Also examined are acceleration-based models: Mean acceleration, (MA); force, (F); the maximum rate of rise of systolic arterial blood pressure, max(dP/dt); and kinetic energy, (KE). When normalized and subsequently observed on a dimensionless basis, acceleration-based models appear to have a statistically significant greater sensitivity to changes in LV contractility. Furthermore, by combining simultaneous arterial blood pressure measurements with EDM-based flow information, the components of afterload and their effects on LV contractility could be estimated.Future research is warranted to determine the applicability and limitations of the EDM in assessing LV contractility and related hemodynamic parameters.

Biography :

Glen Atlas is a Professor in the Department of Anesthesiology at Rutgers New Jersey Medical School and is an Adjunct Clinical Professor in the Department of Chemistry, Chemical Biology and Biomedical Engineering at Stevens Institute of Technology. He is also an adjunct member of the graduate Faculty at Rutgers University, Department of Biomedical Engineering.

Google Scholar citation report
Citations: 307

Journal of Bioengineering & Biomedical Science received 307 citations as per Google Scholar report

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