A study was carried out to determine whether or not time series data from blood pressure measurements could be described within the framework of low dimensional nonlinear dynamics. The role of the carotid baroreflex in the complexity and predictability of the dynamics was assessed quantitatively through correlation dimension (CD) and the largest Lyapunov exponents (LE) measures. Observations were made in conscious dogs with their baroreceptors either intact or surgically isolated. Surrogate data analysis revealed that the correlation dimension did not converge over the range of embedding dimensions possible, and that the nonlinear forecasting ability decreased.
|Number of pages||4|
|Journal||Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings|
|Publication status||Published - 1997|