Complexity analyses show two distinct types of nonlinear dynamics in short heart period variability recordings

Alberto Porta, Vlasta Bari, Andrea Marchi, Beatrice De Maria, Dirk Cysarz, Peter Van Leeuwen, Anielle C M Takahashi, Aparecida M. Catai, Tomaso Gnecchi-Ruscone

Research output: Contribution to journalArticlepeer-review

Abstract

Two diverse complexity metrics quantifying time irreversibility and local prediction, in connection with a surrogate data approach, were utilized to detect nonlinear dynamics in short heart period (HP) variability series recorded in fetuses, as a function of the gestational period, and in healthy humans, as a function of the magnitude of the orthostatic challenge. The metrics indicated the presence of two distinct types of nonlinear HP dynamics characterized by diverse ranges of time scales. These findings stress the need to render more specific the analysis of nonlinear components of HP dynamics by accounting for different temporal scales.

Original languageEnglish
Article number71
JournalFrontiers in Physiology
Volume6
Issue numberMAR
DOIs
Publication statusPublished - 2015

Keywords

  • Autonomic nervous system
  • Cardiovascular control
  • Gestational age
  • Head-up tilt
  • Heart rate variability
  • Local prediction
  • Multiscale analysis
  • Time irreversibility

ASJC Scopus subject areas

  • Physiology
  • Physiology (medical)

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