A spectral approach for heart rate fluctuations analysis

  • Authors:

  • R. Balocchi;A. Macerata;C. Carpeggiani;M. Emdin;A. Benassi;A. L'Abbate

  • Affiliations:

  • CNR Institute of Clinical Physiology and Institute of Medical Pathology I, University of Pisa, via Savi 8, 56100 Pisa, Italy;CNR Institute of Clinical Physiology and Institute of Medical Pathology I, University of Pisa, via Savi 8, 56100 Pisa, Italy;CNR Institute of Clinical Physiology and Institute of Medical Pathology I, University of Pisa, via Savi 8, 56100 Pisa, Italy;CNR Institute of Clinical Physiology and Institute of Medical Pathology I, University of Pisa, via Savi 8, 56100 Pisa, Italy;CNR Institute of Clinical Physiology and Institute of Medical Pathology I, University of Pisa, via Savi 8, 56100 Pisa, Italy;CNR Institute of Clinical Physiology and Institute of Medical Pathology I, University of Pisa, via Savi 8, 56100 Pisa, Italy

  • Venue:
  • Mathematical and Computer Modelling: An International Journal
  • Year:
  • 1988

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Abstract

IN order to investigate the autonomic control of the cardiovascular system power spectral analysis of the R-R interval was applied to 24-h Holter monitoring in 6 subjects. In 2 subjects the analysis was also applied to the 24-h respiratory signal and in 4 to the R-R interval and respiration during spirometric tests. Power spectral analysis was also applied to R-wave amplitude variability, a potential index of respiration, and compared to the respiratory signal when available. Results showed 3 major frequency components of heart rate variability: a low frequency around 0.04 Hz, a mid frequency around 0.10 Hz and a high frequency around 0.25 Hz. The high-frequency component of the spectrum was consistently evident during sleep and appeared to be related to respiration. R-wave amplitude variability appeared to reflect respiratory frequencies in all instances.