TY - BOOK ID - 8654628 TI - Poincare plot methods for heart rate variability analysis PY - 2013 SN - 1461473748 1489988432 1461473756 PB - New York : Springer Science, DB - UniCat KW - Biomedical engineering. KW - Cardiology. KW - Heart -- Pathophysiology. KW - Heart beat. KW - Heart Rate. KW - Heart. KW - Medicine. KW - Pulse. KW - Medicine KW - Health & Biological Sciences KW - Cardiovascular Diseases KW - Heart rate monitoring. KW - Heart beat KW - Mathematical models. KW - Cardiac cycle KW - Cycle, Cardiac KW - Heart cycle KW - Heart rate KW - Medicine & Public Health. KW - Biomedical Engineering. KW - Heart KW - Heart conduction system KW - Hemodynamics KW - Pulse KW - Cardiography KW - Patient monitoring KW - Contraction KW - Biomedical Engineering and Bioengineering. KW - Clinical engineering KW - Medical engineering KW - Bioengineering KW - Biophysics KW - Engineering KW - Internal medicine KW - Diseases KW - Diagnosis. UR - https://www.unicat.be/uniCat?func=search&query=sysid:8654628 AB - The Poincaré plot (named after Henri Poincaré) is a popular two-dimensional visualization tool for dynamic systems due to its intuitive display of the dynamic properties of a system from a time series. This book presents the basis of Poincaré plot and focus especially on traditional and new methods for analysing the geometry, temporal and spatial dynamics disclosed by the Poincaré plot to evaluate heart rate variability (HRV). Mathematical descriptors of Poincaré plot have been developed to quantify the autonomic nervous system activity (sympathetic and parasympathetic modulation of heart rate). Poincaré plot analysis has also been used in various clinical diagnostic settings like diabetes, chronic heart failure, chronic renal failure and sleep apnea syndrome. The primary aims of quantification of the Poincaré plots are to discriminate healthy physiological systems from pathological conditions and to classify the stage of a disease. The HRV analysis by Poincaré plot has opened up ample opportunities for important clinical and research applications. Therefore, the present book can be used either for self-study, as a supplement to courses in linear and nonlinear systems, or as a modern monograph by researchers in this field of HRV analysis. ER -