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

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)01:15

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT) is an advanced Nuclear Magnetic Resonance (NMR) technique specifically designed to detect and enhance the signals of low-abundance nuclei, such as carbon-13 and nitrogen-15, in small molecules. The fundamental principle behind INEPT is the transfer of polarization from a more abundant and highly polarizable nucleus, typically hydrogen-1, to the low-abundance nucleus of interest. This process effectively boosts the NMR signal of the...

You might also read

Related Articles

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

Sort by
Same author

[Kinase-Glo luminescent kinase assay for in vitro determination of PKA activity].

Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology·2012
Same author

Functional characterization of an arrestin gene on insecticide resistance of Culex pipiens pallens.

Parasites & vectors·2012
Same author

MiR-23a inhibits myogenic differentiation through down regulation of fast myosin heavy chain isoforms.

Experimental cell research·2012
Same author

Let-7b inhibits human cancer phenotype by targeting cytochrome P450 epoxygenase 2J2.

PloS one·2012
Same author

Role of IKK/NF-κB signaling in extinction of conditioned place aversion memory in rats.

PloS one·2012
Same author

Inhibition of poly(ADP-ribose) polymerase attenuates acute kidney injury in sodium taurocholate-induced acute pancreatitis in rats.

Pancreas·2012
Same journal

Corrigendum to "Kinematic effects of two therapeutic interventions for glenohumeral joint instability: A preliminary feasibility trial" [J. Electromyogr. Kinesiol. 88 (2026) 103147].

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

Investigating the effects of conservative treatments on the flexion relaxation phenomenon for chronic low back pain: A systematic review.

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

Activation of the deep lumbar multifidus during common rehabilitation and resistance exercises.

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

Comprehensive RGBD-based shoulder kinematics using markerless anatomical landmarks detection and a 3D-printed acromial cluster during hand-cycling.

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

Variational mode decomposition based on refined composite multiscale dispersion entropy and its application in sEMG Denoising.

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

Does pain alter the spatial distribution of muscle activity in people experiencing spinal pain? A systematic review and meta-analysis.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology·2026
See all related articles

Related Experiment Video

Updated: Jun 26, 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

12.6K

A fast gradient convolution kernel compensation method for surface electromyogram decomposition.

Chuang Lin1, Ziwei Cui1, Chen Chen1

  • 1School of Information Science and Technology, Dalian Maritime University, Linghai Road 1, Dalian, Liaoning Province 116026, China.

Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology
|March 13, 2024
PubMed
Summary
This summary is machine-generated.

We developed a fast gradient convolution kernel compensation (fgCKC) algorithm for decomposing electromyography (EMG) signals to estimate motor unit (MU) discharge timings. This new method is significantly faster than previous algorithms, enabling real-time analysis for neuroscience research.

Keywords:
Fast gradient convolution kernel compensationMotor unitOfflineReal-timeSimulated signals

More Related Videos

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

512
Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

467

Related Experiment Videos

Last Updated: Jun 26, 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

12.6K
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

512
Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

467

Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Signal Processing

Background:

  • Electromyography (EMG) signal decomposition is crucial for decoding motor unit (MU) discharge timings.
  • Accurate MU discharge timing estimation is vital for understanding neural control of movement.

Purpose of the Study:

  • To propose and validate a novel, fast gradient convolution kernel compensation (fgCKC) algorithm for high-density surface EMG decomposition.
  • To enable efficient offline and real-time estimation of MU spike trains.

Main Methods:

  • Modified the gradient convolution kernel compensation (gCKC) algorithm by recalculating cross-correlation vectors to enhance efficiency.
  • Incorporated past gradient information alongside current gradient in the fgCKC algorithm.
  • Simulated real-time decomposition using sliding windows on EMG signals.

Main Results:

  • The fgCKC algorithm demonstrated comparable robustness to gCKC in offline decomposition, with minimal sensitivity differences (2.6 ± 1.3%).
  • fgCKC achieved approximately 3 times faster processing speeds than gCKC, dependent on MU count and signal-to-noise ratio.
  • Real-time decomposition was achieved with an average processing time of 240 ms per window on standard computer hardware.

Conclusions:

  • The fgCKC algorithm significantly reduces processing time for EMG decomposition, enabling real-time MU spike train estimation.
  • This advancement offers new possibilities for non-invasive research into neuronal behavior and motor control.