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

Classification of Skeletal Muscle Fibers01:48

Classification of Skeletal Muscle Fibers

56.7K
Skeletal muscles continuously produce ATP to provide the energy that enables muscle contractions. Skeletal muscle fibers can be categorized into three types based on differences in their contraction speed and how they produce ATP, as well as physical differences related to these factors. Most human muscles contain all three muscle fiber types, albeit in varying proportions.
Slow-Twitch Muscle Fibers
Slow oxidative, muscle fibers appear red due to large numbers of capillaries and high levels of...
56.7K
Excitation-Contraction Coupling in Skeletal Muscles01:20

Excitation-Contraction Coupling in Skeletal Muscles

8.6K
Excitation-contraction coupling is a series of events that occur between generating an action potential and initiating a muscle contraction. It occurs at the triad, a structure found in skeletal muscle fibers that comprise a T-tubule and terminal cisternae of the sarcoplasmic reticulum on each side. These triads are visible in longitudinally sectioned muscle fibers. They are typically located at the A-I junction — the junction between the A and I bands of the sarcomere.
When an action...
8.6K
Generation of Action Potential in Skeletal Muscles01:24

Generation of Action Potential in Skeletal Muscles

4.7K
Every cell in the body maintains a membrane potential due to an uneven distribution of positive and negative charges across its plasma membrane. The membrane potential is measured in millivolts and quantifies the difference in charge across the membrane.
Like neurons, muscle cells are also regarded as excitable due to their capacity to change in response to stimuli, primarily due to voltage-gated ion channels embedded in their plasma membranes, which get activated by alterations in the...
4.7K
Isotonic and Isometric Muscle Contractions01:22

Isotonic and Isometric Muscle Contractions

3.6K
Two primary types of muscle contractions are isotonic and isometric, each serving unique functions and involving distinct mechanisms. Both isotonic and isometric contractions are integral to the body's complex system of movement and stability. Isotonic exercises contribute significantly to functional strength and movement, while isometric contractions are crucial for maintaining posture and joint stability.
Isotonic contractions
Isotonic contractions occur when a muscle changes length while...
3.6K

You might also read

Related Articles

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

Sort by
Same author

Simultaneous bilateral hemorrhagic pleural effusion and hemorrhagic ascites during percutaneous nephrolithotomy: a case report.

Frontiers in medicine·2026
Same author

Transcutaneous auricular vagus nerve stimulation combined with ciprofol for sedation in patients undergoing same-session bidirectional endoscopy: a randomized, double-blind, placebo-controlled, three-arm non-inferiority trial protocol.

Annals of medicine·2026
Same author

Single-Injection Liposomal Bupivacaine Adductor Canal Block for Pain Control and Recovery After Total Knee Arthroplasty: A Randomized Controlled Double‑Blinded Study.

Drug design, development and therapy·2026
Same author

The impact of early allograft dysfunction severity on graft and recipient outcomes in pediatric liver transplantation.

Annals of hepatology·2026
Same author

Dynamics of floral volatile emission and transcriptional regulation during flowering in Malus 'Prairie Rose'.

Gene·2026
Same author

Iatrogenic pneumothorax associated with surgeries at anatomically thoracic-adjacent and non-adjacent sites: case report and scoping review.

BMC anesthesiology·2026

Related Experiment Video

Updated: Aug 7, 2025

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

682

Myoelectric Pattern Recognition Using Gramian Angular Field and Convolutional Neural Networks for Muscle-Computer

Junjun Fan1,2,3, Jiajun Wen1,2,3, Zhihui Lai1,2,3

  • 1College of Computer Science & Software Engineering, Shenzhen University, Shenzhen 518060, China.

Sensors (Basel, Switzerland)
|March 11, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel Gramian angular field (GAF)-based 2D representation and convolutional neural network (CNN) classification (GAF-CNN) method to enhance surface electromyography (sEMG) pattern recognition for muscle-computer interfaces.

Keywords:
Gramian angular fieldconvolutional neural networksmuscle–computer interfacemyoelectric pattern recognitionsurface electromyography

More Related Videos

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

43.4K
The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals
07:30

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals

Published on: January 13, 2022

2.1K

Related Experiment Videos

Last Updated: Aug 7, 2025

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

682
Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

43.4K
The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals
07:30

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals

Published on: January 13, 2022

2.1K

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Machine Learning

Background:

  • Muscle-computer interfaces rely on accurate surface electromyography (sEMG) signal pattern recognition.
  • Extracting meaningful patterns from complex sEMG signals remains a significant challenge.

Purpose of the Study:

  • To propose a novel GAF-CNN architecture for improved myoelectric pattern recognition.
  • To enhance the extraction of discriminant channel features from sEMG signals.

Main Methods:

  • Developed an sEMG-GAF transformation to represent time-series signals as 2D images.
  • Employed a deep convolutional neural network (CNN) for feature extraction and classification of the image-based signals.
  • Validated the approach on NinaPro and CagpMyo benchmark datasets.

Main Results:

  • The proposed GAF-CNN method effectively encodes instantaneous sEMG values into image representations.
  • Deep CNN successfully extracts high-level semantic features from the transformed signals.
  • Experimental results demonstrate performance comparable to state-of-the-art methods.

Conclusions:

  • The GAF-CNN architecture offers a promising approach for advancing muscle-computer interface technology.
  • This method improves myoelectric pattern recognition by leveraging advanced signal representation and deep learning.