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: a review.

U Rajendra Acharya1, K Paul Joseph, N Kannathal

  • 1Department of ECE, Ngee Ann Polytechnic, 535 Clementi Road, Singapore, Singapore 599 489. aru@np.edu.sg

Medical & Biological Engineering & Computing
|November 18, 2006
PubMed
Summary
This summary is machine-generated.

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

Systemic Inflammatory Markers and Intracranial Atherosclerosis: Road to Nowhere? A Meta-analysis.

Neuroepidemiology·2026
Same author

Radiomic Carotid Plaque Features Integrated into Machine Learning Models for Cardiovascular Risk Prediction.

Ultrasound in medicine & biology·2026
Same author

Impact of Attenuation Threshold Selection on the Quantification of Carotid Calcification on CTA.

AJNR. American journal of neuroradiology·2026
Same author

Integrating cardiac CT into the diagnostic pathway of Takotsubo syndrome: current evidence and future directions.

European journal of radiology·2026
Same author

Attention mechanisms in UNet variants for medical/non-medical image segmentation: A comprehensive and state-of-the-art narrative review.

Computers in biology and medicine·2026
Same author

Women's Cardiovascular Disease and Stroke Risk Stratification Using a Precision and Personalized Framework Embedded with an Explainable Artificial Intelligence Paradigm: A Narrative Review.

Diagnostics (Basel, Switzerland)·2026

Heart rate variability (HRV) analysis offers insights into autonomic nervous system activity. Computer-based tools enhance the diagnosis of cardiac conditions by analyzing complex HRV signals.

Area of Science:

  • Cardiology
  • Physiology
  • Biomedical Engineering

Background:

  • Heart rate variability (HRV) reflects physiological modulations of heart rhythm.
  • HRV analysis reveals the interplay between sympathetic and parasympathetic nervous systems.
  • Heart rate (HR) is a nonstationary signal, with variations potentially indicating disease.

Purpose of the Study:

  • To discuss the applications of HRV analysis.
  • To review various techniques for HRV signal analysis.
  • To highlight the diagnostic utility of HRV parameters.

Main Methods:

  • Analysis of linear and nonlinear techniques for HRV.
  • Exploration of frequency domain and wavelet domain methods.
  • Utilizing computer-based tools for daylong HRV data analysis.

Related Experiment Videos

Main Results:

  • HRV analysis provides a noninvasive tool for assessing autonomic nervous system activity.
  • Extracted HRV signal parameters are highly useful in diagnostics.
  • Computer-based analysis aids in pinpointing abnormalities in voluminous data.

Conclusions:

  • HRV analysis is a valuable diagnostic tool.
  • Various analytical techniques, including nonlinear methods, are crucial for comprehensive HRV assessment.
  • Advanced computational approaches improve the efficiency and accuracy of HRV-based diagnostics.