Complex dynamics in physiological systems : from heart to brain

Nonlinear dynamics has become an important field of research in recent years in many areas of the natural sciences. In particular, it has potential applications in biology and medicine; nonlinear data analysis has helped to detect the progress of cardiac disease, physiological disorders, for example...

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Další autoři: Kelso, J. A. Scott, 19.. - (Šéfredaktor, odpovědný redaktor), Dana, Syamal K., 19..- (Šéfredaktor, odpovědný redaktor), Kurths, Jürgen, 19..- (Šéfredaktor, odpovědný redaktor), Roy, Prodyot K., 19..- (Šéfredaktor, odpovědný redaktor)
Médium: Livre numérique
Jazyk:Anglais
Vydáno: Dordrecht : Springer Netherlands [20..].
Cham : Springer Nature
Vydání:1st ed. 2009.
Edice:Understanding Complex Systems
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Poznámka: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Complex Dynamics in Physiological Systems: From Heart to Brain, Texte imprimé, 9781402091421
Popis
Shrnutí:Nonlinear dynamics has become an important field of research in recent years in many areas of the natural sciences. In particular, it has potential applications in biology and medicine; nonlinear data analysis has helped to detect the progress of cardiac disease, physiological disorders, for example episodes of epilepsy, and others. This book focuses on the current trends of research concerning the prediction of sudden cardiac death and the onset of epileptic seizures, using the nonlinear analysis based on ECG and EEG data. Topics covered include the analysis of cardiac models and neural models. The book is a collection of recent research papers by leading physicists, mathematicians, cardiologists and neurobiologists who are actively involved in using the concepts of nonlinear dynamics to explore the functional behaviours of heart and brain under normal and pathological conditions. This collection is intended for students in physics, mathematics and medical sciences, and researchers in interdisciplinary areas of physics and biology
Popis jednotky:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9781402091438
ISSN:1860-0840
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017