Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Heart rate variability

P Kamen1

  • 1Department of Cardiology. Austin and Repatriation Medical Centre, Melbourne, Australia.

Australian Family Physician
|July 1, 1996
PubMed
Summary
This summary is machine-generated.

Heart rate variability (HRV) quantifies cardiac autonomic activity. This non-invasive measure predicts arrhythmia complications in myocardial infarction survivors, highlighting new clinical uses.

Related Experiment Videos

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Distortion properties of the interval spectrum of IPFM generated heartbeats for heart rate variability analysis.

IEEE transactions on bio-medical engineering·2001
Same author

Do existing measures of Poincaré plot geometry reflect nonlinear features of heart rate variability?

IEEE transactions on bio-medical engineering·2001
Same author

An examination of the relationship between resting heart rate variability and heart rate reactivity to a mental arithmetic stressor.

Applied psychophysiology and biofeedback·2000
Same author

Dental fellowships in developmental disabilities help broaden care of disabled.

The New York state dental journal·1992

Area of Science:

  • Cardiology
  • Autonomic Nervous System Function

Background:

  • Heart rate variability (HRV) is a non-invasive metric for assessing cardiac autonomic function.
  • HRV analysis is crucial for predicting adverse outcomes in cardiovascular diseases.

Purpose of the Study:

  • To review novel clinical applications of HRV.
  • To describe the methodologies for HRV data acquisition and interpretation.

Main Methods:

  • Non-invasive data collection techniques for HRV.
  • Interpretation of HRV parameters to assess autonomic balance.

Main Results:

  • HRV is a significant predictor of arrhythmia complications post-myocardial infarction.
  • Emerging clinical applications of HRV are identified.

Conclusions:

  • HRV is a valuable tool for risk stratification in post-myocardial infarction patients.
  • Understanding HRV methods enhances clinical utility and patient outcomes.