Key result
System identification techniques using linear models can yield unexpectedly accurate results for less-invasive and real-time estimation of cardiac output flow and pump function in clinical settings.
Why the study?
Classical linear model approaches for cardiovascular system estimation have known limitations, motivating exploration of less-invasive, real-time techniques.
Classical linear models remain effective for less-invasive, real-time estimation of cardiovascular dynamics in clinical settings.
This article first describes the effectiveness and the limitations of classical approaches based on linear models for the cardiovascular system. The authors then introduce their own work on less-invasive and real-time estimation of cardiac output flow and pump function in the clinical setting. It is shown that system identification techniques using linear models can yield unexpectedly accurate results useful for patient care.
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Yoshizawa et al. (1997) conducted a review in Cardiovascular dynamics. System identification techniques using linear models was evaluated on Estimation of cardiac output flow and pump function. System identification techniques using linear models can yield unexpectedly accurate results for less-invasive and real-time estimation of cardiac output flow and pump function in clinical settings.
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