Nonstationarity of dynamic cerebral autoregulation.

摘要: Abstract Dynamic cerebral autoregulation (dCA), the transient response of blood flow (CBF) to rapid changes in arterial pressure (BP), is usually quantified by parameters extracted from time- or frequency-domain analysis. Reproducibility studies dCA and consideration physiological determinants dynamic BP-CBF relationship provide strong indications that a nonstationary process. As consequence, new analytical approaches are needed estimate with greater temporal resolution thus allowing its longitudinal patterns variability be assessed health disease states. Techniques proposed for this task include ARMA models moving windows, recursive least-squares, Laguerre–Volterra networks, wavelet phase synchronisation, multimodal pressure-flow Initial results these techniques have revealed influence some key nonstationarity, such as PaCO 2 , well their ability reflect impairment different clinical conditions. One priority future work development validation multivariate time-varying minimise many co-variates which contribute nonstationarity.