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Heart Rate Variability Analysis with the R package RHRV

  • Constantino Antonio García Martínez
  • Abraham Otero Quintana
  • Xosé A. Vila
  • María José Lado Touriño
  • Leandro Rodríguez-Liñares
  • Jesús María Rodríguez Presedo
  • Arturo José Méndez Penín

Part of the Use R! book series (USE R)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Constantino Antonio García Martínez, Abraham Otero Quintana, Xosé A. Vila, María José Lado Touriño, Leandro Rodríguez-Liñares, Jesús María Rodríguez Presedo et al.
    Pages 1-14
  3. Constantino Antonio García Martínez, Abraham Otero Quintana, Xosé A. Vila, María José Lado Touriño, Leandro Rodríguez-Liñares, Jesús María Rodríguez Presedo et al.
    Pages 15-28
  4. Constantino Antonio García Martínez, Abraham Otero Quintana, Xosé A. Vila, María José Lado Touriño, Leandro Rodríguez-Liñares, Jesús María Rodríguez Presedo et al.
    Pages 29-36
  5. Constantino Antonio García Martínez, Abraham Otero Quintana, Xosé A. Vila, María José Lado Touriño, Leandro Rodríguez-Liñares, Jesús María Rodríguez Presedo et al.
    Pages 37-68
  6. Constantino Antonio García Martínez, Abraham Otero Quintana, Xosé A. Vila, María José Lado Touriño, Leandro Rodríguez-Liñares, Jesús María Rodríguez Presedo et al.
    Pages 69-116
  7. Constantino Antonio García Martínez, Abraham Otero Quintana, Xosé A. Vila, María José Lado Touriño, Leandro Rodríguez-Liñares, Jesús María Rodríguez Presedo et al.
    Pages 117-132
  8. Constantino Antonio García Martínez, Abraham Otero Quintana, Xosé A. Vila, María José Lado Touriño, Leandro Rodríguez-Liñares, Jesús María Rodríguez Presedo et al.
    Pages 133-144
  9. Back Matter
    Pages 145-157

About this book

Introduction

This book introduces readers to the basic concepts of Heart Rate Variability (HRV) and its most important analysis algorithms using a hands-on approach based on the open-source RHRV software. HRV refers to the variation over time of the intervals between consecutive heartbeats. Despite its apparent simplicity, HRV is one of the most important markers of the autonomic nervous system activity and it has been recognized as a useful predictor of several pathologies. The book discusses all the basic HRV topics, including the physiological contributions to HRV, clinical applications, HRV data acquisition, HRV data manipulation and HRV analysis using time-domain, frequency-domain, time-frequency, nonlinear and fractal techniques.

Detailed examples based on real data sets are provided throughout the book to illustrate the algorithms and discuss the physiological implications of the results. Offering a comprehensive guide to analyzing beat information with RHRV, the book is intended for masters and Ph.D. students in various disciplines such as biomedical engineering, human and veterinary medicine, biology, and pharmacy, as well as researchers conducting heart rate variability analyses on both human and animal data.

Keywords

Heart rate variability analysis Frequency domain analysis Time domain analysis Nonlinear analysis Fractal analysis

Authors and affiliations

  • Constantino Antonio García Martínez
    • 1
  • Abraham Otero Quintana
    • 2
  • Xosé A. Vila
    • 3
  • María José Lado Touriño
    • 4
  • Leandro Rodríguez-Liñares
    • 5
  • Jesús María Rodríguez Presedo
    • 6
  • Arturo José Méndez Penín
    • 7
  1. 1.University of Santiago de CompostelaSantiago de CompostelaSpain
  2. 2.CEU San Pablo UniversityMadridSpain
  3. 3.University of VigoOurenseSpain
  4. 4.University of VigoOurenseSpain
  5. 5.University of VigoOurenseSpain
  6. 6.University of Santiago de CompostelaSantiago de CompostelaSpain
  7. 7.University of VigoOurenseSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-65355-6
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-65354-9
  • Online ISBN 978-3-319-65355-6
  • Series Print ISSN 2197-5736
  • Series Online ISSN 2197-5744
  • Buy this book on publisher's site