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Parameter identification is an important and widely used process across the field of biomedical engineering. However, it is susceptible to a number of potential difficulties, such as parameter trade-off, causing premature convergence at non-optimal parameter values. The proposed Dimensional Reduction Method (DRM) addresses this issue by iteratively reducing the dimension of hyperplanes where trade...
The End-Systolic Pressure-Volume Relation (ESPVR) is generally modelled as a linear relationship between P and V as cardiac reflexes, such as the baroreflex, are typically suppressed in experiments. However, ESPVR has been observed to behave in a curvilinear fashion when cardiac reflexes are not supressed, suggesting the curvilinear function may be more clinically appropriate. Data was gathered from...
Cardiovascular disease (CVD) patient outcomes can be improved by extracting and synthesizing as much useful information as possible from a limited number of available measurements. An important metric in assessing the pathological state of CVD patients is cardiac preload. Left ventricular preload can be estimated through the surrogate measurement of left ventricular end diastolic volume (LVEDV). However,...
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