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

Scanning Electron Microscopy01:07

Scanning Electron Microscopy

A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
Fundamental Principles
Accelerated...
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...

You might also read

Related Articles

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

Sort by
Same author

Assessing infants' sleep in the home setting: designing rational study approaches.

Pediatric research·2026
Same author

Pulse-based photoplethysmography quality assessment improves wearable seizure detection performance.

Epilepsia open·2026
Same author

Brain activity as a candidate biomarker for personalised caffeine treatment in premature neonates.

Frontiers in pediatrics·2026
Same author

Bite through pain - an experimental pain force-controlled study on EMG-activity of the masseter muscle.

Clinical oral investigations·2026
Same author

Prototype-based sleep micro-structure learning for explainable and robust multimodal recognition of sleep-related conditions.

Research square·2026
Same author

Medication, Vaccine, and Folic Acid Use Among Pregnant Women in Belgium: Insights from the BELpREG Cohort.

Pharmacoepidemiology and drug safety·2026

Related Experiment Video

Updated: May 15, 2026

Automated Analysis of C. elegans Fluorescence Images using SegElegans
06:27

Automated Analysis of C. elegans Fluorescence Images using SegElegans

Published on: October 10, 2025

A new and fast approach towards sEMG decomposition.

Ivan Gligorijević1, Johannes P van Dijk, Bogdan Mijović

  • 1Department of Electrical Engineering, SCD-SISTA, KU Leuven, Kasteelpark Arenberg 10, 3001 Leuven, Belgium. ivan.gligorijevic@esat.kuleuven.be

Medical & Biological Engineering & Computing
|January 19, 2013
PubMed
Summary

This study presents a fast, data-driven method to decompose high-density surface electromyography (HD-sEMG) signals. The novel technique accurately identifies motor unit action potentials (MUAPs) and their firing patterns, matching human operator performance.

More Related Videos

A Scanning Electron Microscopy-Compatible Optical Imaging Method for Mesoscopic All-Cell Brain Mapping
09:40

A Scanning Electron Microscopy-Compatible Optical Imaging Method for Mesoscopic All-Cell Brain Mapping

Published on: February 20, 2026

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

Related Experiment Videos

Last Updated: May 15, 2026

Automated Analysis of C. elegans Fluorescence Images using SegElegans
06:27

Automated Analysis of C. elegans Fluorescence Images using SegElegans

Published on: October 10, 2025

A Scanning Electron Microscopy-Compatible Optical Imaging Method for Mesoscopic All-Cell Brain Mapping
09:40

A Scanning Electron Microscopy-Compatible Optical Imaging Method for Mesoscopic All-Cell Brain Mapping

Published on: February 20, 2026

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Signal Processing

Background:

  • Decomposing high-density surface electromyography (HD-sEMG) signals into individual motor unit contributions is complex.
  • Accurate decomposition is crucial for understanding muscle activation and neuromuscular disorders.

Purpose of the Study:

  • To develop a novel, fast, and accurate method for decomposing HD-sEMG interference patterns.
  • To effectively identify motor unit action potentials (MUAPs) and reconstruct their firing patterns.

Main Methods:

  • A data-driven approach selects optimal electrodes for MUAP discrimination.
  • Hierarchical clustering extends to multichannel data for MUAP signature extraction.
  • A novel demixing technique reconstructs firing patterns using extracted signatures and a time-efficient convolutive system model.

Main Results:

  • The algorithm successfully decomposed simulated HD-sEMG data with up to 20 MUAP signatures.
  • Performance on real low-contraction recordings from the lateral vastus lateralis muscle was comparable to manual analysis by trained operators.

Conclusions:

  • The proposed method offers an efficient and accurate solution for HD-sEMG decomposition.
  • This technique has the potential to aid in clinical assessments and research related to motor control.