Introduction: Cardiovascular physics.
The number of patients suffering from cardiovascular diseases increases unproportionally high with the increase of the human population and aging, leading to very high expenses in the public health system. Therefore, the challenge of cardiovascular physics is to develop high-sophisticated methods which are able to, on the one hand, supplement and replace expensive medical devices and, on the other hand, improve the medical diagnostics with decreasing the patient's risk. Cardiovascular physics-which interconnects medicine, physics, biology, engineering, and mathematics-is based on interdisciplinary collaboration of specialists from the above scientific fields and attempts to gain deeper insights into pathophysiology and treatment options. This paper summarizes advances in cardiovascular physics with emphasis on a workshop held in Bad Honnef, Germany, in May 2005. The meeting attracted an interdisciplinary audience and led to a number of papers covering the main research fields of cardiovascular physics, including data analysis, modeling, and medical application. The variety of problems addressed by this issue underlines the complexity of the cardiovascular system. It could be demonstrated in this Focus Issue, that data analyses and modeling methods from cardiovascular physics have the ability to lead to significant improvements in different medical fields. Consequently, this Focus Issue of Chaos is a status report that may invite all interested readers to join the community and find competent discussion and cooperation partners.
Wessel
Niels
N
Department of Physics, University of Potsdam, Am Neuen Palais 10, Potsdam, 14415, Germany.
Kurths
Jürgen
J
Ditto
William
W
Bauernschmitt
Robert
R
D000465:Algorithms; D000818:Animals; D002318:Cardiovascular Diseases / Q000175:diagnosis* / Q000628:therapy*; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006321:Heart / Q000503:physiopathology*; D006801:Humans; D008955:Models, Cardiovascular; D017711:Nonlinear Dynamics; D013813:Therapy, Computer-Assisted / Q000379:methods*