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

Method and programme for compartment analysis of exogenously introduced indicator substance.

B Piryova, N Vrabchev, A Kurtev

    Acta Physiologica Et Pharmacologica Bulgarica
    |January 1, 1978
    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

    Hyperbaric oxygen and muscle performance in maximal sustained muscle contraction.

    Undersea & hyperbaric medicine : journal of the Undersea and Hyperbaric Medical Society, Inc·2012
    Same author

    Thyroid function and autoimmunity in children and adolescents with vitiligo.

    Journal of the European Academy of Dermatology and Venereology : JEADV·2003
    Same author

    Effect of lesions to the supramammillary area of the posterior hypothalamus on atrial natriuretic peptide release following acute blood volume expansion in conscious Wistar rats.

    Acta physiologica et pharmacologica Bulgarica·1995
    Same author

    Effect of dopamine receptor blockade on the renal excretory response to acute volume expansion (AVE) in conscious Brattleboro rats.

    Acta physiologica et pharmacologica Bulgarica·1994
    Same author

    Renal excretory function, atrial natriuretic peptide (ANP) and plasma renin activity (PRA) during long-term sodium loading in rats.

    Acta physiologica et pharmacologica Bulgarica·1991
    Same author

    [A compartment analysis of the significance of extracellular fluid volume for body fluid dynamics].

    Eksperimentalna meditsina i morfologiia·1990

    This study introduces a novel method for calculating physiological characteristics of body fluid compartments. By using a sum of two exponents and the least squares method, it improves the accuracy of determining distribution volumes and clearance rates.

    Area of Science:

    • Physiology
    • Pharmacokinetics
    • Mathematical Modeling

    Background:

    • The compartment model of body fluids is crucial for understanding physiological parameters like distribution volume and clearance rates.
    • Current indirect methods for determining these parameters often rely on solving differential equations, which can be prone to inaccuracies.
    • Graphic-analytical methods used in these calculations present significant challenges and lead to imprecise results.

    Purpose of the Study:

    • To develop a more accurate method for determining physiological characteristics of body fluid compartments.
    • To overcome the limitations of graphic-analytical methods in solving differential equations for physiological models.
    • To enhance the precision of calculating parameters such as distribution volume, transport rate, and clearance.

    Main Methods:

    Related Experiment Videos

    • The study proposes approximating the indicator substance concentration in the intravasal space using a sum of two exponents.
    • This approximation directly corresponds to the system of differential equations governing a two-compartment model.
    • The least squares method is employed for function approximation, with mean quadratic error serving as the precision criterion.

    Main Results:

    • The proposed method offers a more accurate determination of physiological characteristics compared to traditional graphic-analytical techniques.
    • It provides a robust algorithm for calculating parameters within a two-compartment body fluid model.
    • A computer program has been developed based on this algorithm.

    Conclusions:

    • The novel approximation technique significantly improves the accuracy of physiological characteristic determination.
    • This approach provides a reliable and precise alternative to existing methods for analyzing body fluid compartment dynamics.
    • The developed algorithm and software facilitate more accurate physiological assessments.