The canonical variables required to fully characterize ventricular function are its pressure (P) and volume (V), and their derivatives dP/dt, dV/dt. The 4-dimensional hyperspace spanned by P, V, dP/dt, dV/dt allows analysis of the left ventricular dynamics and has been a source for discovery of novel physiologic relationships. In this study we assess the physiologic information contained in the dP/dt vs. V plane of physiologic hyperspace. Using normal and diabetic murine P-V data, we characterize the maximum dP/dt (dP/dtmax) vs. end-diastolic volume (Ved) and minimum dP/dt (dP/dtmin) vs. end-systolic volume (Ves) relationship. We observed that both dP/dtmax and dP/dtmin are highly linearly correlated with Ved and Ves, respectively (r2=0.94, r2=0.91). To fully elucidate this relationship an analog kinematic mathematical model was employed. Modeling results indicate that the observed linear dP/dtmin vs. Ves relation reflects the maximal rate of stiffness decrease, whereas the observed linear dP/dtmax vs. Ved relation reflects the maximal rate of stiffness increase. We conclude that hyperspace analysis of ventricular hemodynamics facilitates discovery/characterization of novel physiologic relationships.
|Number of pages||2|
|Journal||Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings|
|State||Published - Jan 1 2002|
- Conductance catheter
- Ventricular physiology