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: Poincaré Plot Methods for Heart Rate Variability Analysis
  name:
    name part: Khandoker, Ahsan Habib.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Karmakar, Chandan.
    role:
      role term: author.
  name:
    name part: Brennan, Michael.
    role:
      role term: author.
  name:
    name part: Palaniswami, Marimuthu.
    role:
      role term: author.
  name:
    name part: Voss, Andreas.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 146 p. online resource.
  abstract: 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: 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.
  note: by Ahsan Habib Khandoker, Chandan Karmakar, Michael Brennan, Marimuthu Palaniswami, Andreas Voss.
  subject:
    topic: Medicine
  subject:
    topic: Cardiology
  subject:
    topic: Biomedical engineering
  subject:
    topic: Medicine & Public Health
  subject:
    topic: Cardiology
  subject:
    topic: Biomedical Engineering
  classification: RC681-688.2
  classification: 616.12
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781461473756
  identifier: http://dx.doi.org/10.1007/978-1-4614-7375-6
  record info:
    record creation date: 130812
    record change date: 20151218041811.0
    record identifier: 978-1-4614-7375-6