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

Orderliness of hormone release.

S M Pincus

    Novartis Foundation Symposium
    |April 7, 2000
    PubMed
    Summary

    Approximate entropy (ApEn) quantifies regularity in biological data, offering a new perspective on hormone pulsatility analysis. This method complements existing algorithms, aiding in the assessment of complex endocrine secretory patterns.

    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

    Heparin toxicity following allogeneic bone marrow infusion.

    Bone marrow transplantation·2007
    Same author

    Noninvasive in vivo investigative probes of adaptive mechanisms of neuroendocrine regulation: the paradigm of the hypothalamo-pituitary-gonadal axis in the aging male.

    Journal of endocrinological investigation·2003
    Same author

    Sexual dimorphism in the synchrony of joint growth hormone and cortisol dynamics in children with classic 21-hydroxylase deficiency.

    Journal of pediatric endocrinology & metabolism : JPEM·2003
    Same author

    Assessing serial irregularity and its implications for health.

    Annals of the New York Academy of Sciences·2002
    Same author

    Impact of pulsatility on the ensemble orderliness (approximate entropy) of neurohormone secretion.

    American journal of physiology. Regulatory, integrative and comparative physiology·2001
    Same author

    Disruption of the synchronous secretion of leptin, LH, and ovarian androgens in nonobese adolescents with the polycystic ovarian syndrome.

    The Journal of clinical endocrinology and metabolism·2001

    Area of Science:

    • Biomedical Engineering
    • Mathematical Biology
    • Endocrinology

    Background:

    • Approximate entropy (ApEn) is a statistical measure for quantifying the regularity of serial data.
    • ApEn has applications in various biological contexts, including the analysis of hormone secretion patterns.

    Purpose of the Study:

    • To introduce Approximate Entropy (ApEn) as a novel tool for analyzing biological time-series data.
    • To demonstrate the utility of ApEn in endocrinology, particularly for hormone pulsatility analysis.

    Main Methods:

    • ApEn is a scale-invariant and model-independent statistic.
    • It can analyze systems with at least 50 data points and various model classes.
    • ApEn evaluates both dominant and subordinate patterns and discriminates difficult-to-recognize series.

    Main Results:

    • ApEn provides a new perspective complementary to traditional pulse detection algorithms in endocrinology.
    • It effectively discriminates between different types of correlated stochastic processes and noisy deterministic systems.
    • ApEn offers discriminatory capabilities where spectral and autocorrelation analyses show minimal distinctions.

    Conclusions:

    • ApEn is a versatile and powerful tool for analyzing biological time-series data, especially in endocrinology.
    • Its application to hormone pulsatility analysis offers a direct measure of feedback between biological subsystems.
    • ApEn enhances the assessment of complex secretory patterns, complementing existing analytical methods.

    Related Experiment Videos