---
res:
  bibo_abstract:
  - Heart rate variability (hrv) is a physiological phenomenon of the variation in
    the length of the time interval between consecutive heartbeats. In many cases
    it could be an indicator of the development of pathological states. The classical
    approach to the analysis of hrv includes time domain methods and frequency domain
    methods. However, attempts are still being made to define new and more effective
    hrv assessment tools. Persistent homology is a novel data analysis tool developed
    in the recent decades that is rooted at algebraic topology. The Topological Data
    Analysis (TDA) approach focuses on examining the shape of the data in terms of
    connectedness and holes, and has recently proved to be very effective in various
    fields of research. In this paper we propose the use of persistent homology to
    the hrv analysis. We recall selected topological descriptors used in the literature
    and we introduce some new topological descriptors that reflect the specificity
    of hrv, and we discuss their relation to the standard hrv measures. In particular,
    we show that this novel approach provides a collection of indices that might be
    at least as useful as the classical parameters in differentiating between series
    of beat-to-beat intervals (RR-intervals) in healthy subjects and patients suffering
    from a stroke episode.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Grzegorz
      foaf_name: Graff, Grzegorz
      foaf_surname: Graff
  - foaf_Person:
      foaf_givenName: Beata
      foaf_name: Graff, Beata
      foaf_surname: Graff
  - foaf_Person:
      foaf_givenName: Pawel
      foaf_name: Pilarczyk, Pawel
      foaf_surname: Pilarczyk
      foaf_workInfoHomepage: http://www.librecat.org/personId=3768D56A-F248-11E8-B48F-1D18A9856A87
  - foaf_Person:
      foaf_givenName: Grzegorz
      foaf_name: Jablonski, Grzegorz
      foaf_surname: Jablonski
      foaf_workInfoHomepage: http://www.librecat.org/personId=4483EF78-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0002-3536-9866
  - foaf_Person:
      foaf_givenName: Dariusz
      foaf_name: Gąsecki, Dariusz
      foaf_surname: Gąsecki
  - foaf_Person:
      foaf_givenName: Krzysztof
      foaf_name: Narkiewicz, Krzysztof
      foaf_surname: Narkiewicz
  bibo_doi: 10.1371/journal.pone.0253851
  bibo_issue: '7'
  bibo_volume: 16
  dct_date: 2021^xs_gYear
  dct_identifier:
  - UT:000678124900050
  dct_isPartOf:
  - http://id.crossref.org/issn/1932-6203
  dct_language: eng
  dct_publisher: Public Library of Science@
  dct_title: Persistent homology as a new method of the assessment of heart rate variability@
  fabio_hasPubmedId: '34292957'
...