Jove
Visualize
Contact Us

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

Residual muscle activity associated with phantom limb movements after transhumeral amputation without surgical reinnervation: a preliminary ultrasound study.

Journal of neuroengineering and rehabilitation·2026
Same author

Response of Spinal Cord Blood Flow to Hypotensive and Adrenergic Challenges: Doppler Ultrasound of the Porcine Sulcal Artery.

Neurosurgery·2026
Same author

A cloud-based miniscope for neurosurveillance of brain health and disease in freely behaving animals.

Nature methods·2026
Same author

Reinnervation of Muscle Targets Enhances the Separability of Motor Unit Signals Following Peripheral Nerve Transfers.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Enhancing early detection of acute brain injury using heart rate variability in patients on venoarterial extracorporeal membrane oxygenation.

Perfusion·2026
Same author

Monitoring Autonomic Tone During Spinal Cord Neuromodulation Using Wearable AURIS Sensor.

bioRxiv : the preprint server for biology·2026
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 Experiment Video

Updated: Feb 27, 2026

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

10.3K

Limb Position Tolerant Pattern Recognition for Myoelectric Prosthesis Control with Adaptive Sparse Representations

Joseph L Betthauser, Christopher L Hunt, Luke E Osborn

    IEEE Transactions on Bio-Medical Engineering
    |June 27, 2017
    PubMed
    Summary

    This study introduces a new adaptive classification method for myoelectric control, improving prosthesis performance in untrained limb positions. This approach enhances robustness, reduces training needs, and aims to increase prosthesis adoption for amputees.

    More Related Videos

    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

    16.7K
    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

    12.2K

    Related Experiment Videos

    Last Updated: Feb 27, 2026

    A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
    06:58

    A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

    Published on: November 6, 2015

    10.3K
    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

    16.7K
    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

    12.2K

    Area of Science:

    • Biomedical Engineering
    • Rehabilitation Technology
    • Signal Processing

    Background:

    • Myoelectric signals are crucial for prosthesis control in amputees.
    • Changes in limb position (untrained conditions) negatively impact signal characteristics and pattern recognition accuracy.
    • This leads to poor prosthesis performance and potential device abandonment despite extensive training.

    Purpose of the Study:

    • To develop and present a robust sparsity-based adaptive classification method for myoelectric control.
    • To significantly reduce sensitivity to signal deviations caused by untrained conditions.
    • To improve the reliability and usability of myoelectric prostheses.

    Main Methods:

    • A novel sparsity-based adaptive classification algorithm was developed.
    • The method was evaluated in offline and online settings using upper-limb movements.
    • Comparisons were made against existing myoelectric classification techniques in both amputee and able-bodied subjects.

    Main Results:

    • Significant performance improvements were observed in untrained limb positions across all participant groups.
    • The proposed method demonstrated superior robustness compared to other classification techniques.
    • The adaptive approach effectively handled signal variations due to limb position changes.

    Conclusions:

    • The developed method offers enhanced robustness for myoelectric control in untrained conditions.
    • This translates to better performance with reduced training frequency and duration.
    • The approach holds potential for significant clinical benefits, including increased adoption of myoelectric prostheses.