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  1. Medical and Biological Engineering and Computing
  2. Medical and Biological Engineering and Computing : Volume 43
  3. Medical and Biological Engineering and Computing : Volume 43, Issue 4, August 2005
  4. Stroke volume equation for impedance cardiography
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Medical and Biological Engineering and Computing : Volume 55
Medical and Biological Engineering and Computing : Volume 54
Medical and Biological Engineering and Computing : Volume 53
Medical and Biological Engineering and Computing : Volume 52
Medical and Biological Engineering and Computing : Volume 51
Medical and Biological Engineering and Computing : Volume 50
Medical and Biological Engineering and Computing : Volume 49
Medical and Biological Engineering and Computing : Volume 48
Medical and Biological Engineering and Computing : Volume 47
Medical and Biological Engineering and Computing : Volume 46
Medical and Biological Engineering and Computing : Volume 45
Medical and Biological Engineering and Computing : Volume 44
Medical and Biological Engineering and Computing : Volume 43
Medical and Biological Engineering and Computing : Volume 43, Issue 6, November 2005
Medical and Biological Engineering and Computing : Volume 43, Issue 5, October 2005
Medical and Biological Engineering and Computing : Volume 43, Issue 4, August 2005
Position-sensing technologies for movement analysis in stroke rehabilitation
Evaluation of achievable registration accuracy of the femur during minimally invasive total hip replacement
Visualisation of intramural coronary vasculature by an imaging cryomicrotome suggests compartmentalisation of myocardial perfusion areas
Fractal characterisation of boundary irregularity in skin pigmented lesions
Stroke volume equation for impedance cardiography
Diagnosing aortic valve stenosis by correlation analysis of wavelet filtered heart sounds
Feature analysis of pathological speech signals using local discriminant bases technique
How to select the elastic modulus for cancellous bone in patient-specific continuum models of the spine
Using recurrent artificial neural network model to estimate voluntary elbow torque in dynamic situations
Influence of gestational age, heart rate, gender and time of day on fetal heart rate variability
Signal-dependent wavelets for electromyogram classification ( Medical and Biological Engineering and Computing , Volume 43 , Issue 4 )
Selective activation of small-diameter motor fibres using exponentially rising waveforms: A theoretical study
Methodology for hypoglycaemia detection based on the processing, analysis and classification of the electroencephalogram
Algorithm for ventricular capture verification based on the mechanical evoked response
Design and evaluation of a handheld impedance plethysmograph for measuring heart rate variability
Instrument to measure the heat convection coefficient on the endothelial surface of arteries and veins
Two-way communication for programming and measurement in a miniature implantable stimulator
Implantable device for long-term electrical stimulation of denervated muscles in rabbits
Medical and Biological Engineering and Computing : Volume 43, Issue 3, June 2005
Medical and Biological Engineering and Computing : Volume 43, Issue 2, April 2005
Medical and Biological Engineering and Computing : Volume 43, Issue 1, February 2005
Medical and Biological Engineering and Computing : Volume 42
Medical and Biological Engineering and Computing : Volume 41
Medical and Biological Engineering and Computing : Volume 40
Medical and Biological Engineering and Computing : Volume 39
Medical and Biological Engineering and Computing : Volume 38
Medical and Biological Engineering and Computing : Volume 37
Medical and Biological Engineering and Computing : Volume 36
Medical and Biological Engineering and Computing : Volume 35

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Stroke volume equation for impedance cardiography

Content Provider SpringerLink
Author Bernstein, D. P. Lemmens, H. J. M.
Copyright Year 2005
Abstract The study's goal was to determine if cardiac output (CO), obtained by impedance cardiography (ICG), would be improved by a new equation N, implementing a square root transformation for dZ/dt$_{max}$/Z$_{0}$, and a variable magnitude, mass-based volume conductor V$_{c}$. Pulmonary artery catheterisation was performed on 106 cardiac surgery patients pre-operatively. Post-operatively, thermodilution cardiac output (TDCO) was simultaneously compared with ICG CO. dZ/dt$_{max}$/Z$_{0}$ and Z$_{0}$ were obtained from a proprietary bioimpedance device. The impedance variables, in addition to left ventricular ejection time T$_{LVE}$ and patient height and weight, were input using four stroke volume (SV) equations: Kubicek (K), Sramek (S), Sramek-Bernstein (SB), and a new equation N. CO was calculated as SV × heart rate. Data are presented as mean ± SD. One way repeated measures of ANOVA followed by the Tukey test were used for inter-group comparisons. Bland-Altman methods were used to assess bias, precision and limits of agreement. P<0.05 was considered statistically significant. CO implementing N (6.06±1.48 l min$^{−1}$) was not different from TDCO (5.97±1.41 l min$^{−1}$). By contrast, CO calculated using K (3.70±1.53 l min$^{−1}$), S (4.16±1.83 l min$^{−1}$) and SB (4.37±1.82 l min$^{−1}$) was significantly less than TDCO. Bland-Altman analysis showed poor agreement between TDCO and K, S and SB, but not between TDCO and N. Compared with TDCO, equation N, using a square-root transformation for dZ/dt$_{max}$/Z$_{0}$, and a mass-based V$_{C}$ was superior to existing transthoracic impedance techniques for SV and CO determination.
Starting Page 443
Ending Page 450
Page Count 8
File Format PDF
ISSN 01400118
Journal Medical and Biological Engineering and Computing
Volume Number 43
Issue Number 4
e-ISSN 17410444
Language English
Publisher Springer-Verlag
Publisher Date 2005-01-01
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Stroke volume Cardiac output Impedance cardiography Acceleration dZ/dt $_{max}$ Human Physiology Computer Applications Neurosciences Imaging Radiology Biomedical Engineering
Content Type Text
Resource Type Article
Subject Biomedical Engineering Computer Science Applications
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