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 Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Changes in systemic carbon dioxide levels during simulated avalanche burial using a one-way valve device: A randomized, double-blind, crossover trial.

Respiratory physiology & neurobiology·2026
Same author

Patient-ventilator interaction-Development of a mathematical model of the respiratory center.

Computer methods and programs in biomedicine·2026
Same author

[Sonography of the pleura - step by step].

Pneumologie (Stuttgart, Germany)·2026
Same author

Sex-Specific Phenotypes and Outcomes in Non-Idiopathic Pulmonary Fibrosis Interstitial Lung Disease: Results from the INSIGHTS-ILD Registry.

Respiration; international review of thoracic diseases·2026
Same author

The influence of muscle shapes on HDsEMG decomposition yield and accuracy.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology·2026
Same author

Correction to: Tiprelestat for Treatment of Hospitalized COVID-19: Results of the Double-Blind Randomized Placebo-Controlled COMCOVID Trial.

Advances in therapy·2026

Related Experiment Video

Updated: Sep 5, 2025

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
09:42

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Published on: January 24, 2025

697

Model-Based Estimation of Inspiratory Effort Using Surface EMG.

Jan Grashoff, Eike Petersen, Stephan Walterspacher

    IEEE Transactions on Bio-Medical Engineering
    |July 5, 2022
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a non-invasive method using surface electromyography (sEMG) to measure respiratory muscle pressure (Pmus) in ventilated patients. The sEMG-derived Pmus accurately quantifies inspiratory effort, aiding clinical decisions.

    More Related Videos

    Evaluation of Respiratory Muscle Activation Using Respiratory Motor Control Assessment RMCA in Individuals with Chronic Spinal Cord Injury
    09:37

    Evaluation of Respiratory Muscle Activation Using Respiratory Motor Control Assessment RMCA in Individuals with Chronic Spinal Cord Injury

    Published on: July 19, 2013

    10.5K
    Repeated Measurement of Respiratory Muscle Activity and Ventilation in Mouse Models of Neuromuscular Disease
    09:24

    Repeated Measurement of Respiratory Muscle Activity and Ventilation in Mouse Models of Neuromuscular Disease

    Published on: April 17, 2017

    13.1K

    Related Experiment Videos

    Last Updated: Sep 5, 2025

    Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
    09:42

    Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

    Published on: January 24, 2025

    697
    Evaluation of Respiratory Muscle Activation Using Respiratory Motor Control Assessment RMCA in Individuals with Chronic Spinal Cord Injury
    09:37

    Evaluation of Respiratory Muscle Activation Using Respiratory Motor Control Assessment RMCA in Individuals with Chronic Spinal Cord Injury

    Published on: July 19, 2013

    10.5K
    Repeated Measurement of Respiratory Muscle Activity and Ventilation in Mouse Models of Neuromuscular Disease
    09:24

    Repeated Measurement of Respiratory Muscle Activity and Ventilation in Mouse Models of Neuromuscular Disease

    Published on: April 17, 2017

    13.1K

    Area of Science:

    • Biomedical Engineering
    • Respiratory Physiology
    • Critical Care Medicine

    Background:

    • Quantifying inspiratory patient effort is crucial for optimizing mechanical ventilation and assessing patient-ventilator interaction.
    • Current methods for measuring respiratory muscle pressure (Pmus) rely on invasive esophageal pressure (Pes) monitoring.
    • There is a need for reliable, non-invasive alternatives to continuously assess Pmus.

    Purpose of the Study:

    • To develop and validate a model-based approach for non-invasively estimating Pmus using surface electromyography (sEMG).
    • To assess the accuracy of sEMG-derived Pmus compared to traditional Pes-based measurements.

    Main Methods:

    • A novel regression technique combined sEMG and ventilator signals to determine respiratory system mechanics and neuromechanical coupling.
    • Lung elastance, resistance, and neuromechanical coupling were calculated.
    • Pmus was estimated using the equation of motion from mechanical parameters and ventilator signals.

    Main Results:

    • The proposed sEMG-based method was applied to data from 43 ventilated patients.
    • sEMG-derived Pmus showed high correlation with Pes-derived Pmus (r=[Formula: see text]).
    • Breath-wise deviation between sEMG-derived and Pes-derived Pmus was minimal ([Formula: see text]).

    Conclusions:

    • The sEMG-derived Pmus is a reliable non-invasive measure closely related to the Pes-based reference.
    • This technique offers a valuable tool for physicians to assess inspiratory effort in mechanically ventilated patients.
    • The method supports clinical decision-making in assisted mechanical ventilation.