Cited by 64Heart Rate Variability and Autonomic ControlCardiac Health and Mental HealthCardiac electrophysiology and arrhythmias

Power spectral analysis of heart rate variability after biofeedback training

Cowan, Marie J., Kogan, Helen, Burr, Robert, Hendershot, Sue, Buchanan, Lynne·1990·Journal of Electrocardiology

Abstract

This study investigated the effects of biofeedback/self-management training on heart rate variability (HRV) in six sudden cardiac arrest survivors. The physiological-theoretical basis of the training was cognitively inducing respiratory sinus arrhythmia. Power spectral analyses and nonspectral analyses (Kleiger, Magid, SCANN, BB50 measures) of HRV measured before and after 5 weeks of biofeedback training are described. The posttraining Kleiger measure of mean HRV increased compared to the pretraining mean HRV (159 +/- 37 ms vs 147 +/- 38 ms). After training, the high frequency components (0.27-0.30 Hz) of the power density spectra were markedly increased, suggesting an increase of respiratory-driven parasympathetic activity. After training, the low frequency components (0.05 Hz) were slightly decreased, suggesting a decrease in sympathetic activity. The increases noted in the high frequency components were more striking during 9 hours at night than during the day. These data indicate that subjects who have had sudden cardiac arrest can, through biofeedback/self-management, cognitively increase their HRV over a 5-week period, consequently increasing parasympathetic activity.

Integrity signals

Registry

Crossref · 10.1016/0022-0736(90)90081-c

Cites

28 of 28 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • Behavioral modification, meditation, hypnosis, biofeedback, and cognitive and relaxation therapies can stimulate vagus nerve activity.

    “Behavioral modification, meditation, hypnosis, biofeedback, and cognitive and relaxation therapies, which have been advocated for treatment of inflammation, can stimulate vagus nerve activity (69)(70)(71)(72)(73)(74)(75).”

Cites

Flagged first, then by citations

1 of the 29 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Cowan, M. J., Kogan, H., Burr, R., Hendershot, S., & Buchanan, L.
Affiliations
University of Washington (US)
Corresponding author
Cowan, Marie J.
Venue
Journal of Electrocardiology
Publisher
Elsevier BV
Published
1990
Volume
23
Pages
85-94
ISSN
0022-0736 (ISSN-L)
OpenAlex
W2079768475
Cited by
64
References
29
Citations by year
2023: 3 · 2021: 5 · 2018: 1 · 2016: 1 · 2015: 2 · 2014: 1 · 2013: 2 · 2012: 2
FWCI
1.13
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Electrocardiology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (2s07rr005758-19)
  • National Center for Research Resources (2 SO7 RR05758-16)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
Keywords
heart rate variability, biofeedback, respiratory sinus arrhythmia, parasympathetic activity, sympathetic activity, self-management education, power spectral density, high-frequency HRV, autonomic nervous system
MeSH terms
Arrhythmia, Sinus, Biofeedback, Psychology, Female, Heart Arrest, Heart Rate, Humans, Male, Middle Aged, Relaxation Therapy, Respiration, Signal Processing, Computer-Assisted, Electrocardiography, Ambulatory

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