title: Monitoring in cardiovascular disease patients by nonlinear biomedical signal processing.
abstract: Due to recent advances in technology extensive cardiovascular monitoring is widely introduced today. An essential component of cardiovascular monitoring is the analysis of several biosignals as electrocardiogram, blood pressure and other vital signs. This manuscript provides an overview about several application fields of cardiovascular monitoring with the main focus on nonlinear dynamics analysis.
authors.affiliation: Department of Medical Engineering and Biotechnology, University of Applied Sciences Jena, Carl-Zeiss-Promenade 2, 07745 Jena, Germany. voss@ fhjena.de
authors.forename: A
authors.initials: A
authors.lastname: Voss
authors.forename: S
authors.initials: S
authors.lastname: Schulz
authors.forename: R
authors.initials: R
authors.lastname: Schroeder
mesh_terms: D000208:Acute Disease; D001145:Arrhythmias, Cardiac / Q000175:diagnosis; D001794:Blood Pressure; D002318:Cardiovascular Diseases / Q000175:diagnosis* / Q000473:pathology; D002319:Cardiovascular System; D003327:Coronary Disease / Q000175:diagnosis; D003422:Critical Care; D018450:Disease Progression; D004562:Electrocardiography / Q000379:methods; D006333:Heart Failure / Q000175:diagnosis; D006339:Heart Rate; D006801:Humans; D018670:Monitoring, Ambulatory / Q000379:methods; D009203:Myocardial Infarction / Q000175:diagnosis; D017711:Nonlinear Dynamics; D012815:Signal Processing, Computer-Assisted