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

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

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

Nonlinear dynamics has turn into a big box of analysis in recent times in lots of parts of the usual sciences. particularly, it has power purposes in biology and medication; nonlinear info research has helped to become aware of the growth of cardiac affliction, physiological issues, for instance episodes of epilepsy, and others. This e-book makes a speciality of the present traits of study about the prediction of surprising cardiac dying and the onset of epileptic seizures, utilizing the nonlinear research according to ECG and EEG facts. issues coated comprise the research of cardiac types and neural types. The ebook is a set of modern learn papers by way of prime physicists, mathematicians, cardiologists and neurobiologists who're actively desirous about utilizing the techniques of nonlinear dynamics to discover the useful behaviours of center and mind lower than basic and pathological stipulations. This assortment is meant for college kids in physics, arithmetic and scientific sciences, and researchers in interdisciplinary components of physics and biology.

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E, 66, 026702 (2002). 16. N. Wessel, C. Ziehmann, J. Kurths, U. Meyerfeldt, A. Schirdewan and A. Voss, Short term forecasting of life-threatening cardiac arrhythmias based on symbolic dynamics and finite time growth rates, Phys. Rev. E, 61, 733 (2000). 17. R. Brown and P. Bryant, Computing Lyapunov spectrum of a dynamical system from an observed time series, Phys. Rev. A, 43, 2787 (1991). 18. M. L. K. Peng, Multiscale entropy analysis of complex physiological time series, Phys. Rev. , 89, 068102 (2002).

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Because the protocol of the head-up tilt test is rich and spans many different physiological conditions, the analysis of physiological data obtained from such an examination gives a unique possibility to assess the body response to many changing physiological conditions. Concerning the information flow in the tilt test it seems interesting whether the direction or any other characteristic of the flow changes during the test or is it constant regardless of the physiological conditions. The aim of this paper is to introduce a new method of the analysis of information flow direction: calculation of a linear cross-correlation in a sliding window.

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