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- W2009235917 abstract "Modeling heartbeat variability remains a challenging signal-processing goal in the presence of highly non-stationary cardiovascular control dynamics. We propose a novel differential autoregressive modeling approach within a point process probability framework for analyzing R-R interval and blood pressure variations. We apply the proposed model to both synthetic and experimental heartbeat intervals observed in time-varying conditions. The model is found to be extremely effective in tracking non-stationary heartbeat dynamics, as evidenced by the excellent goodness-of-fit performance. Results further demonstrate the ability of the method to appropriately quantify the non-stationary evolution of baroreflex sensitivity in changing physiological and pharmacological conditions." @default.
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- W2009235917 date "2010-08-01" @default.
- W2009235917 modified "2023-09-27" @default.
- W2009235917 title "A differential autoregressive modeling approach within a point process framework for non-stationary heartbeat intervals analysis" @default.
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- W2009235917 doi "https://doi.org/10.1109/iembs.2010.5627462" @default.
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