Cited by 1,108Heart Rate Variability and Autonomic ControlCardiovascular Syncope and Autonomic DisordersCardiac electrophysiology and arrhythmias

Power spectrum analysis of heart rate variability to assess the changes in sympathovagal balance during graded orthostatic tilt.

Open access
Montano, N, Ruscone, T G, Porta, A, Lombardi, F, Pagani, M, Malliani, A·1994·Circulation

Abstract

BACKGROUND: The powers of the low-frequency (LF) and high-frequency (HF) oscillations characterizing heart rate variability (HRV) appear to reflect, in their reciprocal relationship, changes in the state of the sympathovagal balance occurring during numerous physiological and pathophysiological conditions. However, no adequate information is available on the quantitative resolution of this methodology. METHODS AND RESULTS: We studied 22 healthy volunteers (median age, 46.5 years) who were subjected after a rest period to a series of passive head-up tilt steps randomly chosen from the following angles: 15 degrees, 30 degrees, 45 degrees, 60 degrees, and 90 degrees. From the continuous ECG, after appropriate analog-to-digital conversion, a personal computer was used to compute, with an autoregressive methodology, time and frequency domain indexes of RR interval variability. Spectral and cross-spectral analysis with the simultaneously recorded respiratory signal excluded its contribution to LF. Age was significantly correlated to variance and to the absolute values in milliseconds squared of very-low-frequency (VLF), LF, and HF components. The tilt angle was correlated to both LF and HF (expressed in normalized units [nu]) and to the LF-to-HF ratio (r = .78, -.72, and .68; respectively). Lower levels of correlation were found with HF (in ms2) and RR interval. No correlation was present between tilt angle and variance, VLF, or LF (in ms2). Individual analysis confirmed that the use of nu provided the greatest consistency of results. CONCLUSIONS: Spectral analysis of HRV, using nu or LF-to-HF ratio, appears to be capable of providing a noninvasive quantitative evaluation of graded changes in the state of the sympathovagal balance.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1161/01.cir.90.4.1826

Cites

28 of 28 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 10

  1. Akselrod S, Gordon D, Hubel FA, Shannon DC, Barger AC, Cohen RJ. Power spectrum analysis of heart rate variability: a quantitative probe of beat-to-beat cardiovascular control. Science. 1981;213:220-222.
  2. Pagani M, Lombardi F, Guzzetti S, Rimoldi 0, Furlan R, Pizzinelli P, Sandrone G, Malfatto G, Dell'Orto S, Piccaluga E, Turiel M, Baselli G, Cerutti S, Malliani A. Power spectral analysis of heart rate and arterial pressure variability as a marker of sympatho-vagal interactions in man and conscious dog. Circ Res. 1986;59:178-193.
  3. Mayer S. Studien zur Physiologie des Herzens und der Blutgefasse: 5. Abhandlung: Uber spontane Blutdruckschwankungen. Sber Akad Wiss Wien. 1876;74:281-307.
  4. Koepchen HP. History of studies and concepts of blood pressure waves. In: Miyakawa K, Koepchen HP, Polosa C, eds. Mechanism of Blood Pressure Waves. Tokyo/Berlin: Japan Science Society Press/Springer-Verlag; 1984:3-23.
  5. Saul JP, Arai Y, Berger RD, Lilly LS, Colucci WS, Cohen RJ. Assessment of autonomic regulation in chronic congestive heart failure by spectral analysis. AmJ Cardiol. 1988;61:1292-1299.
  6. Baselli G, Cerutti S, Civardi S, Malliani A, Pagani M. Towards the identification of a closed-loop model of the neural control mech- anisms. IEEE Trans Biomed Eng. 1988;35:1033-1046.
  7. Lipsitz LA, Mietus J, Moody GB, Goldberger AL. Spectral char- acteristics of heart rate variability before and during postural tilt. Circulation. 1990;81:1803-1810.
  8. Wieling W. Non-invasive continuous recording of heart rate and blood pressure in the evaluation of neurocardiovascular control. In: Bannister R, Mathias CJ, eds. Autonomic Failure. New York, NY: Oxford University Press; 1992.
  9. Guzzetti S, Dassi S, Pecis M, Pagani M, Malliani A. Altered pattern of circadian neural control of heart rate period in mild hypertension. J Hypertens. 1991;9:831-838.
  10. Cook JR, Bigger JT, Kleiger RE, Fleiss JL, Steinman RC, Rolnitzky LM. Effect of atenolol and diltiazem on heart rate variability in normal persons. JAm Coll Cardiol. 1991;17:480-484.

Cited by

Sorted by citations

Authors
Montano, N., Ruscone, T. G., Porta, A., Lombardi, F., Pagani, M., & Malliani, A.
Affiliations
University of Milan (IT)
Venue
Circulation
Published
1994-10
Volume
90
Issue
4
Pages
1826-1831
ISSN
  • 0009-7322 (ISSN-L)
  • 1524-4539
OpenAlex
W1998627270
Cited by
1,108
References
28
Citations by year
2026: 19 · 2025: 36 · 2024: 25 · 2023: 28 · 2022: 39 · 2021: 43 · 2020: 46 · 2019: 36 · 2018: 43 · 2017: 59 · 2016: 51 · 2015: 52 · 2014: 49 · 2013: 42 · 2012: 40
FWCI
19.17
Type
journal article
Language
en
Open access
Locations
  • Circulation (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
  • Health Sciences › Medicine › Surgery › Cardiovascular Syncope and Autonomic Disorders
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
Keywords
heart rate variability, sympathovagal balance, autonomic nervous system, power spectrum, respiratory sinus arrhythmia, RR interval variability, autoregressive analysis, cross-spectral analysis, age-related changes
MeSH terms
Adult, Aged, Female, Heart Rate, Humans, Male, Middle Aged, Sympathetic Nervous System, Vagus Nerve, Tilt-Table Test

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review