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...
Enregistré dans:
| Andre forfattere: | , , , |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Dordrecht :
Springer Netherlands
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2009. |
| Serier: | Understanding Complex Systems
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| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Complex Dynamics in Physiological Systems: From Heart to Brain, Texte imprimé, 9781402091421 |
| LEADER | 04387nam a22003737a 4500 | ||
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| 009 | PPN131117831 | ||
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| 020 | |a 9781402091438 | ||
| 041 | 0 | |a eng | |
| 082 | |a 610 | ||
| 245 | 0 | 0 | |a Complex dynamics in physiological systems : |b from heart to brain |c edited by J.A. Scott Kelso, Syamal K. Dana, Prodyot K. Roy, Jurgen Kurths. |
| 250 | |a 1st ed. 2009. | ||
| 260 | |a Dordrecht : |b Springer Netherlands. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Understanding Complex Systems |x 1860-0840 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Data Analysis A Unified Approach to Attractor Reconstruction Multifractal Analysis of Physiological Data: A Non-Subjective Approach Direction of Information Flow Between Heart Rate, Blood Pressure and Breathing Cardiovascular Physics: Modelling The Mathematical Modelling of Inhomogeneities in Ventricular Tissue Controlling Spiral Turbulence in Simulated Cardiac Tissue by Low-Amplitude Traveling Wave Stimulation Suppression of Turbulent Dynamics in Models of Cardiac Tissue by Weak Local Excitations Synchronization Phenomena in Networks of Oscillatory and Excitable Luo-Rudy Cells Nonlinear Oscillations in the Conduction System of the Heart A Model Cardiovascular Physics: Data Analysis Statistical physics of human heart rate in health and disease Cardiovascular Dynamics Following Open Heart Surgery: Early Impairment and Potential for Recovery Application of Empirical Mode Decomposition to Cardiorespiratory Synchronization Cognitive and Neurosciences Brain Dynamics and Modeling in Epilepsy: Prediction and Control Studies An Expressive Body Language Underlies Drosophila Courtship Behavior Speech Rhythms in Children Learning Two Languages The Role of Dynamical Instabilities and Fluctuations in Hearing Electrical Noise in Cells, Membranes and Neurons | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 | ||
| 700 | 1 | |a Kelso, J. A. Scott, |d 19.. - . |4 pbd | |
| 700 | 1 | |a Dana, Syamal K., |d 19..- |4 pbd | |
| 700 | 1 | |a Kurths, Jürgen, |d 19..- |4 pbd | |
| 700 | 1 | |a Roy, Prodyot K., |d 19..- |4 pbd | |
| 776 | 0 | |t Complex Dynamics in Physiological Systems: From Heart to Brain |b Texte imprimé |z 9781402091421 | |
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| 856 | 4 | |5 452349901:747852146 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-1-4020-9143-8 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:750869739 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-1-4020-9143-8 |z Accès INSA CVL | |
| 997 | |0 940951 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||

