Poincaré Plot Methods for Heart Rate Variability Analysis

Khandoker, Ahsan Habib/ Karmakar, Chandan/ Voss, Andreas/ Palaniswami, Marimuthu

ISBN 10: 1461473748 / ISBN 13: 9781461473749

Edité par Springer Verlag, 2013

A propos de cet article

2013 edition. 210 pages. 9.20x6.20x0.60 inches. In Stock.

N° de réf. du vendeur x-1461473748

Détails bibliographiques

• Titre: Poincaré Plot Methods for Heart Rate Variability Analysis
• Éditeur: Springer Verlag
• Date de parution: 2013
• Langue: anglais
• ISBN à 10 chiffres: 1461473748
• ISBN à 13 chiffres: 9781461473749
• Reliure: Hardcover
• État de l'article: Brand New
• Poids: 0,36 kilogramme

A propos de ce titre

Synopsis

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.

Présentation de l'éditeur

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).