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

Physiological time-series analysis using approximate entropy and sample entropy.

J S Richman1, J R Moorman

  • 1Department of Internal Medicine, University of Virginia Health Sciences Center, Charlottesville 22908, USA.

American Journal of Physiology. Heart and Circulatory Physiology
|June 14, 2000
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

Clinical and vital sign changes associated with late-onset sepsis in very low birth weight infants at 3 NICUs.

Journal of neonatal-perinatal medicine·2021
Same author

Blood pressure ranges via non-invasive and invasive monitoring techniques in premature neonates using high resolution physiologic data.

Journal of neonatal-perinatal medicine·2019
Same author

Early Pulse Oximetry Data Improves Prediction of Death and Adverse Outcomes in a Two-Center Cohort of Very Low Birth Weight Infants.

American journal of perinatology·2018
Same author

Application of dynamical analyses of heart rate to rhythm classification and prognosis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2015
Same author

Abnormal heart rate characteristics are associated with abnormal neuroimaging and outcomes in extremely low birth weight infants.

Journal of perinatology : official journal of the California Perinatal Association·2014
Same author

Abnormal heart rate characteristics before clinical diagnosis of necrotizing enterocolitis.

Journal of perinatology : official journal of the California Perinatal Association·2013
Same journal

Interplay of Oxidative Stress and Inflammatory Mechanisms in Doxorubicin-induced Cardiomyopathy.

American journal of physiology. Heart and circulatory physiology·2026
Same journal

Impact of moderate isocapnic hyperthermia on dynamic cerebral autoregulation and its directional sensitivity.

American journal of physiology. Heart and circulatory physiology·2026
Same journal

Repetitive Pressure Overload; Species Disparities, Mechanisms and Translational Relevance.

American journal of physiology. Heart and circulatory physiology·2026
Same journal

SIRT2-mediated regulation of glycolytic flux: Another brick in the wall of Gary Lopaschuk's legacy in cardiac metabolism.

American journal of physiology. Heart and circulatory physiology·2026
Same journal

Tailored anesthesia protocols for echo-based HFpEF phenotyping in C57BL6/N mice.

American journal of physiology. Heart and circulatory physiology·2026
Same journal

Desmoglein-2 Deficiency Drives Mitochondrial Morphological Remodeling in Cardiomyocytes.

American journal of physiology. Heart and circulatory physiology·2026
See all related articles

Sample entropy (SampEn) is a new measure of system complexity that offers more consistent results than approximate entropy (ApEn) for analyzing short, noisy biological time series data, improving accuracy in cardiovascular studies.

Area of Science:

  • Dynamical systems
  • Information theory
  • Biomedical signal processing

Background:

  • Entropy quantifies information production in dynamical systems.
  • Existing entropy estimation methods struggle with short, noisy biological time series.
  • Approximate entropy (ApEn) offers a solution but yields inconsistent results.

Purpose of the Study:

  • Introduce sample entropy (SampEn), a novel complexity measure.
  • Compare the performance of SampEn and ApEn.
  • Evaluate cross-SampEn and cross-ApEn for time series similarity.

Main Methods:

  • Analyzed random number sets with known properties.
  • Utilized cardiovascular datasets for time series analysis.
  • Compared SampEn and ApEn performance across various conditions.

Related Experiment Videos

Main Results:

  • SampEn demonstrated closer agreement with theoretical expectations than ApEn.
  • SampEn provided more consistent and accurate complexity measures.
  • Cross-SampEn and cross-ApEn were evaluated for similarity analysis.

Conclusions:

  • SampEn offers improved accuracy and consistency over ApEn.
  • SampEn is a valuable tool for analyzing biological and clinical time series.
  • Enhanced complexity measures like SampEn aid in understanding cardiovascular dynamics.