  Recent studies have shown that Postural Orthostatic Tachycardia Syndrome
(POTS) patients have abnormal low frequency $\approx 0.1$ Hz blood pressure and
heart rate dynamics. These dynamics are attributed to the baroreflex and can
give insight into the mechanistic causes which are the basis for proposed
subgroups of POTS. In this study we develop a baroreflex model replicating the
low-frequency dynamics observed in POTS patient data as well as represent
subgroups of POTS in our model. We utilize signal processing to quantify the
effects that model parameters have on low-frequency oscillations. Results show
that key physiological parameters that represent the hypothesized causes are
central to our model's ability to reproduce observed dynamics from patient
data.
