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 Video

Updated: May 25, 2026

Extraction of the EPP Component from the Surface EMG
07:16

Extraction of the EPP Component from the Surface EMG

Published on: December 16, 2009

A physiologically and biomechanically approximate model for surface electromyography amplitude estimation.

Changmok Choi1, Hae-Dong Lee, Jung Kim

  • 1Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea. cm7.choi@samsung.com

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
Summary

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

Disruption of CTCF binding by germline non-coding variants in <i>CDKN2B</i> suppress <i>CDKN2A</i> expression and predispose to melanoma.

medRxiv : the preprint server for health sciences·2026
Same author

Prevalence of Familial Melanoma Genes and Cancer Risk Among Genomically Ascertained Individuals.

JAMA dermatology·2026
Same author

Longitudinal Changes in the Serum Pepsinogen I/II Ratio With Progression of Gastric Atrophy.

Journal of clinical laboratory analysis·2026
Same author

Nonadvanced Adenoma Number and Size as Predictors of Metachronous Advanced Colorectal Neoplasm: Implications for Surveillance Guidelines.

Gastroenterology·2026
Same author

Low-Heat and Near-Silent Pneumatic Source Driven by Integrated Endothermic-Exothermic Chemical Reactions for Soft Robots.

Soft robotics·2026
Same author

Genomic ascertainment of <i>PALB2</i>-related cancer predisposition: <i>PALB2</i>-related cancer predisposition.

medRxiv : the preprint server for health sciences·2026

A new method for estimating muscle force using surface electromyography (sEMG) was developed. This approach, based on motor unit action potential event detection and biomechanical modeling, offers improved accuracy over traditional mean absolute value (MAV) methods for muscle force estimation.

Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Biomechanics

Background:

  • Surface electromyography (sEMG) is crucial for understanding neural drive to muscles.
  • Accurate muscle force estimation using sEMG is vital for biomechanical studies and bionic applications.
  • Current methods like mean absolute value (MAV) lack comprehensive physiological justification for sEMG amplitude estimation.

Purpose of the Study:

  • To develop a physiologically and biomechanically approximate model for sEMG-based muscle force estimation.
  • To introduce a novel sEMG amplitude estimation method that improves upon existing techniques.
  • To provide a clearer understanding of the relationship between sEMG signals and muscle force.

Main Methods:

  • Proposed a two-step sEMG amplitude estimation method.

More Related Videos

Determining The Electromyographic Fatigue Threshold Following a Single Visit Exercise Test
06:00

Determining The Electromyographic Fatigue Threshold Following a Single Visit Exercise Test

Published on: July 27, 2015

Assessment of Neuromuscular Function Using Percutaneous Electrical Nerve Stimulation
07:53

Assessment of Neuromuscular Function Using Percutaneous Electrical Nerve Stimulation

Published on: September 13, 2015

Related Experiment Videos

Last Updated: May 25, 2026

Extraction of the EPP Component from the Surface EMG
07:16

Extraction of the EPP Component from the Surface EMG

Published on: December 16, 2009

Determining The Electromyographic Fatigue Threshold Following a Single Visit Exercise Test
06:00

Determining The Electromyographic Fatigue Threshold Following a Single Visit Exercise Test

Published on: July 27, 2015

Assessment of Neuromuscular Function Using Percutaneous Electrical Nerve Stimulation
07:53

Assessment of Neuromuscular Function Using Percutaneous Electrical Nerve Stimulation

Published on: September 13, 2015

  • Incorporated motor unit action potential (MUAP) event detection.
  • Utilized a biomechanical muscle model for muscle force indication.

    • Main Results:

    • The proposed method demonstrated superior performance (R(2) = 0.94 ± 0.03) compared to the mean absolute value (MAV) method (R(2) = 0.90 ± 0.02).
    • Evaluations were conducted across nine human subjects.
    • The new method provides a more accurate estimation of muscle force from sEMG signals.

    Conclusions:

    • The developed method offers a more accurate and physiologically grounded approach to sEMG-based muscle force estimation.
    • This technique has the potential to significantly advance quantitative analysis of muscle activity.
    • The proposed method is expected to be widely applicable in various biomechanical and bionic applications.