Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	November 2008
Genre:	Naturwissensch., Medizin, Technik
	bioinformatics / Biological and Medical Physics, Biophysics / Biological physics / Biology, life sciences / Biomedical engineering / Biomedical Engineering and Bioengineering / Biomedical Research / Biomedicine, general / Biophysics / C / Complex systems / Computational and Systems Biology / Computational biology / Computer Appl. in Life Sciences / Dynamical systems / Dynamics & statics / Epidemiology & medical statistics / Information technology# general issues / Medical physics / Medicine / Physics and Astronomy / Probability & statistics / Statistical physics / Statistics / Statistics for Life Sciences, Medicine, Health Sciences / Statistics in Life Sciences, Medicine, Health Sciences
ISBN:	9781402091421
EAN-Code:	9781402091421
Verlag:	Springer Nature EN
Einband:	Gebunden
Sprache:	English
Serie:	Understanding Complex Systems
Dimensionen:	H 254 mm / B 178 mm / D
Gewicht:	743 gr
Seiten:	272
Illustration:	XVI, 272 p. 136 illus., 54 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.