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

Lactylation and macrophage polarization from a clinical perspective: pathological mechanisms and therapeutic potential.

Frontiers in immunology·2026
Same author

Pathological stratification and therapeutic implications for post-stroke depression based on a multidimensional biomarker panel: a narrative review.

Frontiers in neurology·2026
Same author

Development and characterization of a Cre/<i>loxP</i> toolkit for genome engineering in <i>Komagataella phaffii</i>.

Synthetic and systems biotechnology·2026
Same author

Fatigue-Resistant Ferroelectric Hafnium Oxides by Modulating Grain Boundaries.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Serum GRP78 as a potential biomarker for early liver injury and active fibrogenesis in alcohol-associated liver disease.

Clinical and experimental medicine·2026
Same author

Deep residual learning for molecular force fields.

Nature communications·2026

Related Experiment Video

Updated: Jan 15, 2026

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

44.0K

Correction: Pre-training, personalization, and self-calibration: all a neural network-based myoelectric decoder

Chenfei Ma1, Xinyu Jiang1, Kianoush Nazarpour1

  • 1School of Informatics, The University of Edinburgh, Edinburgh, United Kingdom.

Frontiers in Neurorobotics
|October 8, 2025
PubMed
Summary

This study corrects a previously published article. The correction ensures the accuracy of the scientific record for future research and citation.

Area of Science:

  • This study falls within the field of scientific publishing and research integrity.
Keywords:
adaptationdeep learningmyoelectric controlneural networktransfer learning

More Related Videos

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

10.2K
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: Jan 15, 2026

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

44.0K
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

10.2K
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