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Minimal sampling requirements for a parametric representation of blood pressure profiles

Abstract:

The minimum sampling conditions are analyzed that are needed to estimate the parameters of a model to represent the behavior of the blood pressure (BP) patterns in a long time span recording. To represent the pbkp_redictive time variations of the BP profiles a trigonometric model is selected to be optimally fitted to the BP and heart rate (HR) time series. The multiple cosinor model is used to describe the signal. It is shown that the multiple cosinor model fits the time series considerably better than the single model. There is no significant difference between equidistant and random decimation. Daily decimation showed results to dissuade the use of this approach when night samples are not measured, with the exception of the mesor parameter. The higher-frequency components are better described by the total energy derived from the 12- and 8-hour components. It seems possible, with this methodology, to establish a useful dynamic range of the model parameters to describe normotensive patterns.