rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Heart Rate Variability Analysis with the R package RHRV
  name:
    name part: García Martínez, Constantino Antonio.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Otero Quintana, Abraham.
    role:
      role term: author.
  name:
    name part: Vila, Xosé A.
    role:
      role term: author.
  name:
    name part: Lado Touriño, María José.
    role:
      role term: author.
  name:
    name part: Rodríguez-Liñares, Leandro.
    role:
      role term: author.
  name:
    name part: Rodríguez Presedo, Jesús María.
    role:
      role term: author.
  name:
    name part: Méndez Penín, Arturo José.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 157 p. 50 illus., 29 illus. in color. online resource.
  abstract: 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.
  table of contents: Foreword -- Preface -- 1 Introduction to Heart Rate Variability -- 2 Loading, Plotting and Filtering RR Intervals -- 3 Time Domain Analysis -- 4 Frequency Domain Analysis -- 5 Nonlinear and Fractal Analysis -- 6 Comparing HRV Variability across Different Segments of a Recording -- 7 Putting it All Together, a Practical Example -- A Installing RHRV -- B How do I Get a Series of RR Intervals from a Clinical/Biological Experiment?
  note: by 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.
  subject:
    topic: Statistics
  subject:
    topic: Cardiac imaging
  subject:
    topic: Cardiology
  subject:
    topic: Biostatistics
  subject:
    topic: Biomedical engineering
  subject:
    topic: Statistics
  subject:
    topic: Statistics for Life Sciences, Medicine, Health Sciences
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Biostatistics
  subject:
    topic: Biomedical Engineering
  subject:
    topic: Cardiology
  subject:
    topic: Cardiac Imaging
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Use R!
  identifier: 9783319653556
  identifier: http://dx.doi.org/10.1007/978-3-319-65355-6
  record info:
    record creation date: 170918
    record change date: 20170918142831.0
    record identifier: 978-3-319-65355-6