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

Arteries of the Upper Limbs01:12

Arteries of the Upper Limbs

2.3K
The subclavian artery transitions into the axillary artery as it exits the chest and enters the axillary region. This artery is critical for supplying blood to the shoulder area, including the head of the humerus, through the humeral circumflex arteries. As the vessel continues into the upper arm or brachium, it becomes the brachial artery. This artery plays a key role in vascularizing the brachial region and bifurcates at the elbow into several branches. These branches include the deep...
2.3K
Veins of Upper Limbs01:17

Veins of Upper Limbs

4.2K
The human circulatory system, a marvel of biological engineering, is a complex network of vessels that transport blood throughout the body. Among these, the veins responsible for carrying blood from the upper limbs are divided into two categories: deep and superficial.
The deep venous system is primarily composed of the ulnar and radial veins. The ulnar vein, which drains the fingers through the superficial palmar venous arches, and the radial vein, which serves the palms via the deep palmar...
4.2K
Bones of the Upper Limb: Humerus01:19

Bones of the Upper Limb: Humerus

7.2K
The upper limb consists of the arm, forearm, wrist, and hand bones. The humerus is the single bone of the upper arm region. Proximally, it has a large, spherical, smooth head that articulates with the glenoid cavity of the scapula to form the glenohumeral or shoulder joint. The margin of the head is the anatomical neck, a residual epiphyseal plate. Laterally it extends to form bony projections called the greater tubercle and the lesser tubercle. Next to the tubercles is the surgical neck, a...
7.2K
Bones of the Upper Limb: Ulna01:15

Bones of the Upper Limb: Ulna

4.4K
The ulna and radius are parallel bones of the antebrachium or the forearm. The ulna lies medially and consists of a bony tip called the olecranon process at its proximal end. This hook-like projection articulates with the olecranon fossa of the humerus and forms the "hinged" ulnohumeral part of the elbow joint. This joint facilitates forearm extension and flexion while preventing its hyperextension. Similarly, the coronoid process, another bony projection on the proximal/anterior side...
4.4K
Bones of the Upper Limb: Radius01:09

Bones of the Upper Limb: Radius

4.8K
The radius is longer of the two bones that make up the human antebrachium or forearm. At the proximal end, the radius articulates with the capitulum of the humerus and the radial notch of the ulna to form the elbow joint. At the distal end, the radius articulates with the ulna via the ulnar notch, forming the distal radioulnar joint. Distally, the radius also attaches to the carpal wrist bones (scaphoid and lunate) to form the radiocarpal joint.
The radius has a nail-shaped head, and a...
4.8K
Pilot and Numeric Relaying01:21

Pilot and Numeric Relaying

492
Pilot relaying is a type of differential protection used in power systems. It compares electrical quantities at the terminals of equipment via a communication channel instead of direct relay interconnection. This method is essential for transmission lines where the terminals are far apart, typically up to 80 km for lines with 69 to 115 kV ratings. Four types of communication channels are used for pilot relaying:
492

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

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
See all related articles

Related Experiment Video

Updated: Feb 2, 2026

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
07:51

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Published on: March 14, 2017

17.3K

A Pilot Study on Using Forcemyography to Record Upper-limb Movements for Human-machine Interactive Control.

Nanxin Zhang, Xiangxin Li, Oluwarotimi Willianms Samuel

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |November 17, 2018
    PubMed
    Summary
    This summary is machine-generated.

    Forcemyography (FMG) effectively records upper-limb movements. Optimizing signal channel configuration significantly improves motion classification, while feature selection has minimal impact, aiding human-machine control applications.

    More Related Videos

    Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes
    04:49

    Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

    Published on: September 6, 2024

    1.5K
    Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
    06:11

    Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

    Published on: April 18, 2025

    1.6K

    Related Experiment Videos

    Last Updated: Feb 2, 2026

    Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
    07:51

    Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

    Published on: March 14, 2017

    17.3K
    Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes
    04:49

    Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

    Published on: September 6, 2024

    1.5K
    Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
    06:11

    Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

    Published on: April 18, 2025

    1.6K

    Area of Science:

    • Biomedical Engineering
    • Rehabilitation Technology
    • Human-Computer Interaction

    Background:

    • Forcemyography (FMG) records real-time body motions by sensing force distribution changes on muscle surfaces.
    • FMG shows potential for human-machine interactive control applications.
    • Decoding FMG patterns enables recognition of body movements.

    Purpose of the Study:

    • To evaluate the influence of signal channel and feature configurations on upper-limb motion classification using FMG.
    • To explore channel and feature combinations for optimizing FMG-based motion recognition.
    • To provide insights for FMG application in human-machine interactive control.

    Main Methods:

    • Developed a four-channel wearable FMG acquisition system.
    • Recorded seven distinct upper-limb movements from six able-bodied subjects.
    • Analyzed the impact of varying signal channel numbers and feature sets on classification performance.

    Main Results:

    • The number of signal channels significantly influenced motion classification performance.
    • The number of signal features had an insignificant effect on motion classification.
    • Channel and feature combinations were analyzed for their impact on classification accuracy.

    Conclusions:

    • Signal channel configuration is a critical factor for enhancing FMG-based upper-limb motion classification.
    • Feature selection appears less critical than channel configuration for this application.
    • Findings offer guidance for optimizing FMG systems in human-machine interaction.