Dynamics

Download Complex Dynamics in Physiological Systems: From Heart to by Louis M. Pecora, Linda Moniz, Jonathan Nichols, Thomas L. PDF

By Louis M. Pecora, Linda Moniz, Jonathan Nichols, Thomas L. Carroll (auth.), Syamal K. Dana, Prodyot K. Roy, Jürgen Kurths (eds.)

Nonlinear dynamics has develop into a massive box of analysis in recent times in lots of parts of the usual sciences. particularly, it has strength purposes in biology and drugs; nonlinear information research has helped to notice the development of cardiac disorder, physiological problems, for instance episodes of epilepsy, and others. This e-book specializes in the present developments of study about the prediction of unexpected cardiac dying and the onset of epileptic seizures, utilizing the nonlinear research in line with ECG and EEG facts. subject matters coated comprise the research of cardiac versions and neural versions. The publication is a suite of contemporary examine papers by way of top physicists, mathematicians, cardiologists and neurobiologists who're actively concerned with utilizing the suggestions of nonlinear dynamics to discover the practical behaviours of middle and mind less than general and pathological stipulations. This assortment is meant for college kids in physics, arithmetic and clinical sciences, and researchers in interdisciplinary components of physics and biology.

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Extra resources for Complex Dynamics in Physiological Systems: From Heart to Brain

Example text

Our findings also suggest that there is an alternative route through which breathing affects the system which is probably related to the dynamics of the vascular bed. 3. There seems to be a simple relation between the shortening of the RR interval and the increase of the diastolic blood pressure. References 1. Wichterle D, Melenovsky V, Simek J, et al. (2000) Cross-spectral analysis of heart rate and blood pressure modulations. PACE 23(9):1425–1430. 2. Nollo G, Faes L, Porta A, et al. (2005) Exploring directionality in spontaneous heart period and systolic pressure variability interactions in humans: implications in the evaluation of baroreflex gain.

Wichterle D, Melenovsky V, Simek J, et al. (2000) Cross-spectral analysis of heart rate and blood pressure modulations. PACE 23(9):1425–1430. 2. Nollo G, Faes L, Porta A, et al. (2005) Exploring directionality in spontaneous heart period and systolic pressure variability interactions in humans: implications in the evaluation of baroreflex gain. Am J Physiol Heart Circ Physiol 288:H1777–H1785. 3. Marinazzo D, Pellicoro M, and Stramaglia S. (2006) Nonlinear parametric model for Granger causality of time series.

Fig. 5 Group averaged correlation signal. The breathing effort is the reference signal and the traces show correlations for the different measured signals: heart rate (thick dashed line), systolic (thin solid line), diastolic (thin dashed line) and pulse pressure (thick solid line). Starting from the left of the figure, the arrows denote the global extrema of the correlation functions: for pulse BP, HR, diastolic BP and systolic BP Next, we analyzed the correlations with the heart rate signal taken as reference.

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