Literature DB >> 1449229

Modeling the circulation with three-terminal electrical networks containing special nonlinear capacitors.

J E Tsitlik1, H R Halperin, A S Popel, A A Shoukas, F C Yin, N Westerhof.   

Abstract

Development, first of analog and later of digital computers, as well as algorithms for analysis of electrical circuits, stimulated the use of electrical circuits for modeling the circulation. The networks used as building blocks for electrical models can provide accurate representation of the hydrodynamic equations relating the inflow and outflow of individual segments of the circulation. These networks, however, can contain connections in which voltages and currents have no analogues in the circulation. Problems arise because (a) electrical current must flow in closed loops, whereas no such constraints exist for hydraulic models; and (b) electrical capacitors have a number of characteristics that are not analogous to those of hydraulic compliant chambers. Disregarding these differences can lead to erroneous results and misinterpretation of phenomena. To ensure against these errors, we introduce an imaginary electrical element, the nonlinear residual-charge capacitor (NRCC), with characteristics equivalent to those of a compliant chamber. If one uses appropriate circuit connections and incorporates the residual-charge capacitor, then all voltages and currents in the model are proper analogues of pressures and flows in the circulation. It is shown that the capacitive current represents the rate of change of volume of blood inside the vessel, as well as the rate of the corresponding displacement of volume of the surrounding tissue.

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Year:  1992        PMID: 1449229     DOI: 10.1007/bf02368608

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  24 in total

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Authors:  L DE PATER; J W VAN DEN BERG
Journal:  Med Electron Biol Eng       Date:  1964-04

2.  Intrathoracic pressure fluctuations move blood during CPR: comparison of hemodynamic data with predictions from a mathematical model.

Authors:  H R Halperin; J E Tsitlik; R Beyar; N Chandra; A D Guerci
Journal:  Ann Biomed Eng       Date:  1987       Impact factor: 3.934

3.  Optimization of coronary blood flow during cardiopulmonary resuscitation (CPR).

Authors:  C K Lin; H Levenson; S M Yamashiro
Journal:  IEEE Trans Biomed Eng       Date:  1987-06       Impact factor: 4.538

4.  Pressure-flow characteristics of collapsible tubes: a reconciliation of seemingly contradictory results.

Authors:  R W Brower; A Noordergraaf
Journal:  Ann Biomed Eng       Date:  1973-03       Impact factor: 3.934

5.  Computer simulation studies of the venous circulation.

Authors:  M F Snyder; V C Rideout
Journal:  IEEE Trans Biomed Eng       Date:  1969-10       Impact factor: 4.538

6.  Input impedance, wave travel, and reflections in the human pulmonary arterial tree: studies using an electrical analog.

Authors:  G H Pollack; R V Reddy; A Noordergraaf
Journal:  IEEE Trans Biomed Eng       Date:  1968-07       Impact factor: 4.538

7.  Simulation of the cardiovascular system.

Authors:  E O Attinger; A Anné
Journal:  Ann N Y Acad Sci       Date:  1966-01-31       Impact factor: 5.691

8.  Synchronized external pulsation for improved tolerance to acceleration stress: model studies and preliminary experiments.

Authors:  T W Moore; D Jaron; C L Chu; U Dinnar; L Hrebien; M J White; E Hendler; S Dubin
Journal:  IEEE Trans Biomed Eng       Date:  1985-02       Impact factor: 4.538

9.  Role of carotid artery resistance to collapse during high-intrathoracic-pressure CPR.

Authors:  F C Yin; J M Cohen; J Tsitlik; B Zola; M L Weisfeldt
Journal:  Am J Physiol       Date:  1982-08

10.  Models of ventricular contraction based on time-varying elastance.

Authors:  K Sunagawa; K Sagawa
Journal:  Crit Rev Biomed Eng       Date:  1982-03
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  1 in total

1.  A bond graph model of the cardiovascular system.

Authors:  V Le Rolle; A I Hernandez; P Y Richard; J Buisson; G Carrault
Journal:  Acta Biotheor       Date:  2005       Impact factor: 1.774

  1 in total

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