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

Surface EMG analysis on normal subjects based on isometric voluntary contraction.

P A Kaplanis1, C S Pattichis, L J Hadjileontiadis

  • 1Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus. p.a.kaplanis@cytanet.com.cy

Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology
|June 5, 2007
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

Position Paper: Artificial Intelligence in Medical Image Analysis: Advances, Clinical Translation, and Emerging Frontiers.

IEEE journal of biomedical and health informatics·2025
Same author

Detecting fetal heart sounds by means of Fractal Dimension analysis in the Wavelet domain.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2017
Same author

Adaptive emergency scenery video communications using HEVC for responsive decision support in disaster incidents.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2016
Same author

Prediction of the time period of stroke based on ultrasound image analysis of initially asymptomatic carotid plaques.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2016
Same author

Electronic Health Record Application Support Service Enablers.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2016
Same author

Measurement of ultrasonic diaphragmatic motion.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2016

This study computed reference surface electromyography (SEMG) values for the Biceps Brachii muscle across various force levels. Findings reveal significant changes in time, frequency, and bispectrum parameters with increasing muscle contraction intensity.

Area of Science:

  • Biomechanics
  • Neurophysiology
  • Biomedical Engineering

Background:

  • Surface electromyography (SEMG) is crucial for assessing neuromuscular function.
  • Establishing reference values for SEMG parameters under controlled conditions is essential for accurate clinical interpretation.
  • The Biceps Brachii muscle's SEMG response to varying isometric voluntary contraction (IVC) forces requires detailed characterization.

Purpose of the Study:

  • To compute reference SEMG values for 13 parameters in the time, frequency, and bispectrum domains.
  • To analyze SEMG signal changes in the Biceps Brachii muscle during isometric voluntary contractions (IVC) at different force levels.
  • To establish normative data for SEMG analysis in healthy subjects.

Main Methods:

  • Recorded SEMG signals from 94 healthy subjects during IVC at 10%, 30%, 50%, 70%, and 100% of maximum voluntary contraction (MVC).

Related Experiment Videos

  • Extracted 13 parameters across time, frequency, and bispectrum domains.
  • Utilized the Wilcoxon signed rank test to assess significant differences (p<0.05) between force levels for each parameter.
  • Main Results:

    • Time domain parameters (turns per second, zero crossings per second) increased significantly with force.
    • Median frequency decreased, while maximum and total power increased significantly with force.
    • Bispectrum's maximum amplitude increased with force, except from 30% to 50% MVC; SEMG linearity varied with force levels.

    Conclusions:

    • Reference SEMG values were established for the Biceps Brachii muscle across different force levels.
    • SEMG parameters demonstrate significant, force-dependent changes, providing insights into neuromuscular activity.
    • These findings support applications in diagnosing neuromuscular disorders and monitoring rehabilitation.