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

Electrodiagnostic model for motor unit action potential (MUAP) generation.

J V Basmajian, D N Gopal, D N Ghista

    American Journal of Physical Medicine
    |December 1, 1985
    PubMed
    Summary

    This study introduces an inverse analysis of electromyography (EMG) using Linear Prediction Coding (LPC) to simulate motor-unit action potentials. This method aids in diagnosing neuromuscular disorders like motor neuron degeneration and myopathy.

    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

    Gross and histological structure of the pharyngeal constrictors in the rabbit.

    The Anatomical record·2014
    Same author

    Effects of training on endurance in hanging by the hands.

    Journal of motor behavior·2013
    Same author

    A note on the conscious controls of motor units by children under six.

    Journal of motor behavior·2013
    Same author

    Left ventricular wall stress compendium.

    Computer methods in biomechanics and biomedical engineering·2011
    Same author

    Impact of surgical ventricular restoration on ventricular shape, wall stress, and function in heart failure patients.

    American journal of physiology. Heart and circulatory physiology·2011
    Same author

    Not Enough Bodies.

    Canadian Medical Association journal·2010

    Area of Science:

    • Biomedical Engineering
    • Neuroscience
    • Signal Processing

    Background:

    • Electromyography (EMG) is crucial for diagnosing neuromuscular disorders.
    • Accurate analysis of single motor-unit action potentials (MUAPs) is essential for precise electrodiagnosis.
    • Existing methods may have limitations in characterizing specific neuromuscular pathologies.

    Purpose of the Study:

    • To develop and present an inverse analysis method for EMG signals.
    • To utilize Linear Prediction Coding (LPC) for parametric simulation of recorded MUAPs.
    • To enhance the electrodiagnosis of neuromuscular disorders.

    Main Methods:

    • Developed an inverse analysis framework for EMG.
    • Applied Linear Prediction Coding (LPC) to model and simulate MUAPs.

    Related Experiment Videos

  • Parametrically simulated recorded single motor-unit action potentials.

    • Main Results:

    • Successfully developed an inverse analysis of EMG using LPC.
    • Demonstrated the parametric simulation of recorded single motor-unit action potentials.
    • Established a foundation for improved electrodiagnosis.

    Conclusions:

    • The developed inverse EMG analysis with LPC offers a novel approach for electrodiagnosis.
    • This method shows potential for characterizing neuromuscular disorders such as motor neuron degeneration, regeneration, and myopathy.
    • Further validation is warranted for clinical application.