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

You might also read

Related Articles

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

Sort by
Same author

Dual-Modulus Microcone Array for Graded Tactile Sensing and Intelligent Slip Detection.

ACS applied materials & interfaces·2026
Same author

AdaWGAN: Data Augmentation for Few-Shot HD-sEMG Gesture Recognition Using Single-Trial Data.

IEEE journal of biomedical and health informatics·2026
Same author

Advances in printable flexible and stretchable thin-film electrodes: materials, interfaces, technologies and bioelectronic applications.

Nanoscale·2026
Same author

Nondestructive determination of ash content in wheat flour via terahertz time-domain spectroscopy.

Frontiers in plant science·2026
Same author

Resting-state brain network alterations in adolescent idiopathic scoliosis using functional near-infrared spectroscopy.

Biomedical engineering online·2026
Same author

A Novel Sliding Mode Differentiator-Based Feature for EMG-Based Hand Gesture Characterization.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same journal

Mammalian Respiratory Chain Complex Assemblies and Their Links to Mitochondria Stress-Induced Human Diseases.

Advances in experimental medicine and biology·2026
Same journal

Enzyme Assemblies in Nucleotide Metabolism: Structure, Regulation, and Disease Implications.

Advances in experimental medicine and biology·2026
Same journal

The Pyruvate Dehydrogenase Complex: A 90-Year-Old Enigma Shaping the Future of Structural Enzymology.

Advances in experimental medicine and biology·2026
Same journal

Regulation of the Anti-termination RNA Transcription Complex by Lon-Mediated Lambda N Degradation.

Advances in experimental medicine and biology·2026
Same journal

PCNA Macromolecular Complexes: PCNA Serves as a Molecular Hub Regulating Multiple Cellular Processes Inside and Outside of the Nucleus.

Advances in experimental medicine and biology·2026
Same journal

Dynamic Assemblies in Genome Maintenance.

Advances in experimental medicine and biology·2026
See all related articles

Related Experiment Video

Updated: Jan 3, 2026

Surface Electromyographic Biofeedback as a Rehabilitation Tool for Patients with Global Brachial Plexus Injury Receiving Bionic Reconstruction
09:14

Surface Electromyographic Biofeedback as a Rehabilitation Tool for Patients with Global Brachial Plexus Injury Receiving Bionic Reconstruction

Published on: September 28, 2019

12.0K

Realizing Efficient EMG-Based Prosthetic Control Strategy.

Guanglin Li1,2, Oluwarotimi Williams Samuel3,4, Chuang Lin3,4

  • 1CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Science (CAS), Shenzhen, China. gl.li@siat.ac.cn.

Advances in Experimental Medicine and Biology
|November 16, 2019
PubMed
Summary
This summary is machine-generated.

Advanced prosthetic limbs use electromyography (EMG) signals to restore function for amputees. Intelligent computational techniques decode muscle activity for intuitive control, improving daily living activities and quality of life.

Keywords:
Limb motionMyoelectric signalPattern recognitionProsthesisRehabilitation robotUpper limb amputee

More Related Videos

Therapy Interventions for Upper Limb Amputees Undergoing Selective Nerve Transfers
07:59

Therapy Interventions for Upper Limb Amputees Undergoing Selective Nerve Transfers

Published on: October 29, 2021

4.1K
Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
11:16

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Published on: July 22, 2014

16.6K

Related Experiment Videos

Last Updated: Jan 3, 2026

Surface Electromyographic Biofeedback as a Rehabilitation Tool for Patients with Global Brachial Plexus Injury Receiving Bionic Reconstruction
09:14

Surface Electromyographic Biofeedback as a Rehabilitation Tool for Patients with Global Brachial Plexus Injury Receiving Bionic Reconstruction

Published on: September 28, 2019

12.0K
Therapy Interventions for Upper Limb Amputees Undergoing Selective Nerve Transfers
07:59

Therapy Interventions for Upper Limb Amputees Undergoing Selective Nerve Transfers

Published on: October 29, 2021

4.1K
Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
11:16

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Published on: July 22, 2014

16.6K

Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Neuroprosthetics

Background:

  • Limb loss significantly impairs daily activities and quality of life.
  • Electromyography (EMG) signals offer a pathway to restore limb function in amputees.
  • Advanced prostheses controlled by EMG signals are crucial for functional restoration.

Purpose of the Study:

  • To explore EMG-based prosthetic control strategies for upper limb movement intentions.
  • To detail intelligent computational techniques for decoding EMG signals.
  • To discuss methods for enhancing the performance of EMG-based prostheses.

Main Methods:

  • Utilizing pattern recognition for myoelectric control.
  • Applying intelligent computational techniques to decode EMG signals.
  • Analyzing muscle activation patterns for limb motion intent.

Main Results:

  • EMG signals contain neural information reflecting muscle activation for limb movements.
  • Pattern recognition-based myoelectric control supports intuitive, multi-degree-of-freedom movements.
  • Intelligent techniques enable derivation of control commands from decoded movement intentions.

Conclusions:

  • EMG-based prosthetic control offers a promising approach to restore limb function.
  • Intelligent computational techniques are key to decoding user intentions from EMG signals.
  • Continuous advancements in EMG-based prosthetics can significantly improve amputees' quality of life.