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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Other Authors: Dana, Syamal K.
Format: Book
Language:English
Published: Springer 2017
Subjects:
612
Online Access:http://repository.vnu.edu.vn/handle/VNU_123/30188
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Institution: Vietnam National University, Hanoi
Language: English
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spelling oai:112.137.131.14:VNU_123-301882020-06-22T08:57:36Z Complex dynamics in physiological systems : from heart to brain Dana, Syamal K. Roy, Prodyot K. Kurths, J. Physiology -- Mathematical models -- Congresses Nonlinear functional analysis -- Congresses 612 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. 2017-04-18T00:52:10Z 2017-04-18T00:52:10Z 2009 Book 978-1-4020-9142-1 http://repository.vnu.edu.vn/handle/VNU_123/30188 en 272 p. application/pdf Springer
institution Vietnam National University, Hanoi
building VNU Library & Information Center
country Vietnam
collection VNU Digital Repository
language English
topic Physiology -- Mathematical models -- Congresses
Nonlinear functional analysis -- Congresses
612
spellingShingle Physiology -- Mathematical models -- Congresses
Nonlinear functional analysis -- Congresses
612
Complex dynamics in physiological systems : from heart to brain
description 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.
author2 Dana, Syamal K.
author_facet Dana, Syamal K.
format Book
title Complex dynamics in physiological systems : from heart to brain
title_short Complex dynamics in physiological systems : from heart to brain
title_full Complex dynamics in physiological systems : from heart to brain
title_fullStr Complex dynamics in physiological systems : from heart to brain
title_full_unstemmed Complex dynamics in physiological systems : from heart to brain
title_sort complex dynamics in physiological systems : from heart to brain
publisher Springer
publishDate 2017
url http://repository.vnu.edu.vn/handle/VNU_123/30188
_version_ 1680967726635417600