Gaussian mixture model of heart rate variability.

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  • Author(s): Costa T;Costa T; Boccignone G; Ferraro M
  • Source:
    PloS one [PLoS One] 2012; Vol. 7 (5), pp. e37731. Date of Electronic Publication: 2012 May 30.
  • Publication Type:
    Journal Article
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
    • Publication Information:
      Original Publication: San Francisco, CA : Public Library of Science
    • Subject Terms:
      Models, Neurological*; Heart Rate/*physiology; Adolescent ; Adult ; Autonomic Nervous System/physiology ; Electrocardiography ; Female ; Humans ; Male ; Nonlinear Dynamics ; Normal Distribution ; Signal Processing, Computer-Assisted ; Young Adult
    • Abstract:
      Heart rate variability (HRV) is an important measure of sympathetic and parasympathetic functions of the autonomic nervous system and a key indicator of cardiovascular condition. This paper proposes a novel method to investigate HRV, namely by modelling it as a linear combination of Gaussians. Results show that three Gaussians are enough to describe the stationary statistics of heart variability and to provide a straightforward interpretation of the HRV power spectrum. Comparisons have been made also with synthetic data generated from different physiologically based models showing the plausibility of the Gaussian mixture parameters.
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    • Publication Date:
      Date Created: 20120606 Date Completed: 20121029 Latest Revision: 20211021
    • Publication Date:
      20240104
    • Accession Number:
      PMC3364278
    • Accession Number:
      10.1371/journal.pone.0037731
    • Accession Number:
      22666386