eBook Poincaré Plot Methods for Heart Rate Variability Analysis, 1st Edition

  • Published By:
  • ISBN-10: 1461473756
  • ISBN-13: 9781461473756
  • DDC: 616.12
  • Grade Level Range: College Freshman - College Senior
  • 146 Pages | eBook
  • Original Copyright 2013 | Published/Released August 2014
  • This publication's content originally published in print form: 2013
  • Price:  Sign in for price

About

Overview

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.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Dedication Page.
Preface.
Acknowledgements.
Contents.
1: Introduction.
2: Quantitative Poincaré Plot.
3: Poincaré Plot Interpretation of HRV Using Physiological Model.
4: Poincaré Plot in Capturing Nonlinear Temporal Dynamics of HRV.
5: Heart Rate Asymmetry Analysis Using Poincaré Plot.
6: Segmented Poincaré Plot Analysis and Lagged Segmented Poincaré Plot Analysis.
References.