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

A simple method for estimating compliance.

J X Brunner, H Langenstein, G Wolff

    Critical Care Medicine
    |August 1, 1985
    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

    Identifying and assessing factors affecting farmers' markets Electronic Benefit Transfer sales in Hawai'i.

    Public health nutrition·2020
    Same author

    Diet-dependent function of the extracellular matrix proteoglycan Lumican in obesity and glucose homeostasis.

    Molecular metabolism·2018
    Same author

    Der Anaesthesist·2016
    Same author

    Automatic compensation of endotracheal tube resistance in spontaneously breathing patients.

    Technology and health care : official journal of the European Society for Engineering and Medicine·2014
    Same author

    Determination of volume-dependent respiratory system mechanics in mechanically ventilated patients using the new SLICE method.

    Technology and health care : official journal of the European Society for Engineering and Medicine·2014
    Same author

    [Investigations on pollen tube growth of Pisum sativum and its mutants : I. Influence of free amino acids on pollen tube growth].

    TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2014
    Same journal

    The authors reply.

    Critical care medicine·2026
    Same journal

    Attracting Emergency Medicine Graduates to Surgical Critical Care Training Programs.

    Critical care medicine·2026
    Same journal

    The authors reply.

    Critical care medicine·2026
    Same journal

    Beyond a Snapshot: Tracking Family Prognostic Expectations in the ICU.

    Critical care medicine·2026
    Same journal

    The authors reply.

    Critical care medicine·2026
    Same journal

    Plasma Levels of Soluble ST2 Reflect Extrapulmonary Organ Dysfunction and Predict Outcomes in Acute Respiratory Failure: Beware of Potential Confounders.

    Critical care medicine·2026
    See all related articles

    A new mean-values method accurately estimates pulmonary compliance in ventilated patients, overcoming the slow calculation times of the least-squares fit method for real-time bedside monitoring.

    Area of Science:

    • Intensive Care Medicine
    • Respiratory Physiology
    • Medical Technology

    Background:

    • Pulmonary compliance is a crucial diagnostic index in intensive care.
    • Accurate measurement is often hindered by technical difficulties, leading to estimations.
    • Existing computer methods like least-squares fit (LSF) are too slow for real-time bedside use.

    Purpose of the Study:

    • To develop a faster algorithm for pulmonary compliance measurement.
    • To enable real-time, breath-by-breath bedside calculations.
    • To compare the accuracy of the new algorithm against the LSF method.

    Main Methods:

    • Development of a simple computer algorithm (mean-values method).
    • Comparison of the mean-values method with the established LSF method.

    Related Experiment Videos

  • Validation in ventilated patients.

    • Main Results:

    • The mean-values method achieved compliance values practically identical to the LSF method.
    • Computing time was reduced to 30% of the LSF method.
    • Enabled real-time, breath-by-breath estimation of pulmonary compliance.

    Conclusions:

    • The mean-values method is a viable and efficient alternative for pulmonary compliance measurement.
    • This algorithm facilitates accurate, real-time bedside monitoring in intensive care.
    • Improves diagnostic capabilities for respiratory conditions in critical care settings.