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1.
Am J Physiol ; 266(1 Pt 2): H228-34, 1994 Jan.
Article in English | MEDLINE | ID: mdl-8304503

ABSTRACT

Previous studies of ventricular interaction have quantified interaction by making small pressure or volume changes in one ventricle and measuring the resulting pressure or volume changes in the opposite ventricle. The ratios between the pressure and volume changes in opposite ventricles have been used as coupling coefficients or measures of ventricular interaction. This method of calculating coupling coefficients implicitly uses mathematical relationships that have useful features not generally appreciated. Starting from the definition of coupling coefficients we show that, without making any assumptions about ventricular interaction, all 24 possible coupling coefficients can be derived from a smaller set of four coupling coefficients. Furthermore, by making the single assumption that the ventricles behave elastically, we show that the set of four coefficients can be reduced to a set of three. Thus only three indexes are required to describe interaction, but these may vary with changes in ventricular volumes and pressures around which the indexes are measured. Furthermore, when comparisons between experimental studies are made, it is necessary to normalize the indexes with respect to ventricular volume.


Subject(s)
Ventricular Function , Animals , Humans , Models, Cardiovascular , Systole
2.
Ann Biomed Eng ; 16(5): 429-43, 1988.
Article in English | MEDLINE | ID: mdl-3189973

ABSTRACT

A model is presented that relates the change in baroreceptor firing rate to a step change in blood pressure. This relationship is nonlinear since the alteration in rate of firing depends on the current rate of firing. It is shown that this simple relationship embodies all currently established baroreceptor response modes. The model needs refinement to allow for effects arising from the properties of the tissue matrix in which the receptors are embedded. Further analysis is precluded at present owing to paucity of quantitative experimental data.


Subject(s)
Blood Pressure , Models, Cardiovascular , Pressoreceptors/physiology , Animals
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