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

Selection of a suitable surface emissivity for coatings and assessment of thermal camouflage performance via spectral radiance analysis.

Applied optics·2026
Same author

Development of a diagnostic nomogram for tuberculous pleural effusion.

Journal of clinical tuberculosis and other mycobacterial diseases·2026
Same author

Emerging Primary Amoxicillin Resistance in Helicobacter pylori in Vietnam: Evidence of Erosion of a Long-Standing Beta-Lactam Backbone.

Helicobacter·2026
Same author

First Report of Nocardiosis Caused by Nocardia seriolae in Farmed Spotted Scat (Scatophagus argus).

Journal of fish diseases·2026
Same author

Association between admission high-sensitivity cardiac troponin T levels and clinical outcomes in acute intracerebral hemorrhage: a prospective cohort study.

BMC neurology·2026
Same author

Multimodal analysis of cell-free DNA to improve early detection of gastric cancer.

BMC cancer·2026

Related Experiment Video

Updated: Sep 29, 2025

Fabrication of the Composite Regenerative Peripheral Nerve Interface C-RPNI in the Adult Rat
10:35

Fabrication of the Composite Regenerative Peripheral Nerve Interface C-RPNI in the Adult Rat

Published on: February 25, 2020

8.4K

Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface.

Diu Khue Luu, Anh Tuan Nguyen, Ming Jiang

    IEEE Transactions on Bio-Medical Engineering
    |March 18, 2022
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an artificial intelligence (AI) agent for intuitive prosthetic hand control. The AI system decodes nerve signals, enabling amputees to achieve high accuracy in controlling prosthetic movements.

    More Related Videos

    Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
    05:21

    Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

    Published on: January 7, 2019

    8.0K
    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

    16.4K

    Related Experiment Videos

    Last Updated: Sep 29, 2025

    Fabrication of the Composite Regenerative Peripheral Nerve Interface C-RPNI in the Adult Rat
    10:35

    Fabrication of the Composite Regenerative Peripheral Nerve Interface C-RPNI in the Adult Rat

    Published on: February 25, 2020

    8.4K
    Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
    05:21

    Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

    Published on: January 7, 2019

    8.0K
    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

    16.4K

    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Artificial Intelligence

    Background:

    • Developing advanced prosthetic limbs requires seamless integration between human neural signals and machine control.
    • Current prosthetic technologies often lack the dexterity and intuitive control of natural limbs.

    Purpose of the Study:

    • To present a neuroprosthetic system utilizing an artificial intelligence (AI) agent for translating amputees' movement intentions.
    • To demonstrate real-time, intuitive control of a prosthetic hand through a peripheral nerve interface.

    Main Methods:

    • An AI agent, based on a recurrent neural network (RNN), was developed to decode six degrees-of-freedom (DOF) from multichannel nerve data in real-time.
    • The system's performance was evaluated in motor decoding experiments with three human amputees, assessing accuracy, reaction time, and information throughput.

    Main Results:

    • The AI agent enabled amputees to intuitively control prosthetic hand and wrist movements with 97-98% accuracy.
    • Real-time performance was validated through gesture matching tasks, and the decoder demonstrated robust predictive performance over 16 months.

    Conclusions:

    • This study highlights the potential of AI-enabled nerve technology for next-generation prosthetic hands.
    • The developed system offers a pathway towards more dexterous and intuitive prosthetic limb control for amputees.