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

Determining heart-rate variability: comparing methodologies using computer simulations

J D Harry1, R Freeman

  • 1Division of Engineering, Brown University, Providence, Rhode Island 02912.

Muscle & Nerve
|March 1, 1993
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

Child coping strategies, dental anxiety and dental treatment: the influence of age, gender and childhood caries prevalence.

European journal of paediatric dentistry·2006
Same author

Levetiracetam for seizures after liver transplantation.

Neurology·2005
Same author

Autonomic neuropathy and coeliac disease.

Journal of neurology, neurosurgery, and psychiatry·2005
Same author

Ion acceleration from the shock front induced by hole boring in ultraintense laser-plasma interactions.

Physical review. E, Statistical, nonlinear, and soft matter physics·2004
Same author

Risk perception of oral cancer in smokers attending primary care: a randomised controlled trial.

Oral oncology·2004
Same author

Child physical abuse: health professionals' perceptions, diagnosis and responses.

British journal of community nursing·2004
Same journal

Join AANEM.

Muscle & nerve·2026
Same journal

Targeted Muscle Reinnervation for Management and Prevention of Symptomatic Neuroma.

Muscle & nerve·2026
Same journal

AANEM News & Insights.

Muscle & nerve·2026
Same journal

Fat-Fraction Quantification Using Three-Point Dixon Technique in Duchenne Muscular Dystrophy and Its Correlation With Clinical Progression and Genotypic Characteristics: A Single Centre One-Year Prospective Study.

Muscle & nerve·2026
Same journal

Characterizing Combined Central and Peripheral Demyelination-Insights From a Multimodal Comparison With Chronic Inflammatory Demyelinating Polyneuropathy and Multiple Sclerosis.

Muscle & nerve·2026
Same journal

Electrical Modalities in the Rehabilitation of Peripheral Nerve Injuries: State of the Literature and Current Clinical Applications.

Muscle & nerve·2026
See all related articles

Researchers compared common heart rate variability measures using simulations. Some measures are affected by mean heart rate and artifacts, impacting autonomic nervous system (ANS) function assessment.

Area of Science:

  • Physiology
  • Biomedical Engineering
  • Cardiology

Background:

  • Heart rate variability (HRV) reflects autonomic nervous system (ANS) function.
  • Numerous HRV measures exist to quantify respiratory sinus arrhythmia.
  • Understanding measure performance is crucial for accurate ANS assessment.

Purpose of the Study:

  • To compare the performance of frequently used HRV measures.
  • To evaluate the influence of artifacts and varying conditions on HRV measures.
  • To identify HRV measures most suitable for deep-breathing tests.

Main Methods:

  • Computer-based simulations of 1-minute deep-breathing tests were employed.
  • Simulations incorporated common artifacts and shifting mean heart rates.

Related Experiment Videos

  • Performance of various HRV measures (SDRR, MSSD, Max-Min, SDHR, R) was analyzed.

    • Main Results:

    • Measures like SDRR and MSSD were significantly influenced by mean heart rate.
    • Max-Min and SDHR showed less dependence on mean heart rate.
    • All measures except R were sensitive to mean heart rate shifts and single-beat anomalies; R was sensitive to test duration and breathing synchrony.

    Conclusions:

    • Different HRV measures exhibit distinct sensitivities to physiological and artifactual influences.
    • Sensitivity to non-ANS related factors can compromise diagnostic accuracy.
    • Simple improvements and careful selection of HRV measures are recommended for reliable ANS evaluation.