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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.

Nonlinear theories. --- Physiology -- Mathematical models. --- Physiology --- Nonlinear theories --- Nonlinear Dynamics --- Congresses --- Cardiovascular Physiological Processes --- Models, Theoretical --- Physiological Processes --- Nervous System Physiological Processes --- Publication Formats --- Investigative Techniques --- Physiological Phenomena --- Nervous System Physiological Phenomena --- Mathematics --- Cardiovascular Physiological Phenomena --- Publication Characteristics --- Natural Science Disciplines --- Musculoskeletal and Neural Physiological Phenomena --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Phenomena and Processes --- Circulatory and Respiratory Physiological Phenomena --- Disciplines and Occupations --- Human Anatomy & Physiology --- Health & Biological Sciences --- Mathematical models --- Mathematical models. --- Nonlinear problems --- Nonlinearity (Mathematics) --- Medicine. --- Bioinformatics. --- Computational biology. --- Biophysics. --- Biological physics. --- Statistical physics. --- Dynamical systems. --- Statistics. --- Biomedical engineering. --- Biomedicine. --- Biomedicine general. --- Statistical Physics, Dynamical Systems and Complexity. --- Biophysics and Biological Physics. --- Computer Appl. in Life Sciences. --- Biomedical Engineering. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Calculus --- Mathematical analysis --- Mathematical physics --- Biology --- Complex Systems. --- Biological and Medical Physics, Biophysics. --- Biomedical Engineering and Bioengineering. --- Data processing. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Physicians --- Health Workforce --- Bioinformatics . --- Computational biology . --- Statistics . --- Biomedicine, general. --- Bioinformatics --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Biological physics --- Physics --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Statics --- Mathematical statistics --- Data processing

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Biomathematics. Biometry. Biostatistics --- General biophysics --- Biology --- Human biochemistry --- Computer science --- Computer. Automation --- medische biochemie --- medische statistiek --- biofysica --- biochemie --- biologie --- biostatistiek --- informatica --- biometrie