Poincaré Plot Methods for Heart Rate Variability Analysis / by Ahsan Habib Khandoker, Chandan Karmakar, Michael Brennan, Marimuthu Palaniswami, Andreas Voss.

Format:

Book

Author/Creator:

Khandoker, Ahsan Habib, author.

Karmakar, Chandan, author.

Brennan, Michael (Biomedical engineer), author.

Palaniswami, Marimuthu, author.

Voss, Andreas, 1950- author.

Contributor:

SpringerLink (Online service)

Series:

Biomedical and Life Sciences (Springer-11642)

Language:

English

Subjects (All):

Cardiology.

Biomedical engineering.

Biomedical Engineering and Bioengineering.

Local Subjects:

Cardiology.

Biomedical Engineering and Bioengineering.

Physical Description:

1 online resource (XV, 146 pages)

Edition:

First edition 2013.

Contained In:

Springer eBooks

Place of Publication:

New York, NY : Springer US : Imprint: Springer, 2013.

System Details:

text file PDF

Summary:

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.

Contents:

Preface

Introduction

Quantitative Poincare plot

Poincare plot interpretation of HRV using Physiological Model

Poincare plot in capturing nonlinear temporal dynamics of HRV

Heart rate asymmetry (HRA) analysis using Poincare plot

Segmented Poincare plot Analysis (SPPA) and Lagged Segmented Poincare Plot Analysis (LSPPA)

Index.

Other Format:

Printed edition:

ISBN:

978-1-4614-7375-6

9781461473756

Access Restriction:

Restricted for use by site license.