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

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: Dec 6, 2025

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
09:42

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

Published on: September 1, 2023

1.8K

Bio-Inspired Algorithms for Optimal Feature Selection in Motor Imagery-Based Brain-Computer Interface.

Oluwagbenga Paul Idowu, Peng Fang, Guanglin Li

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 6, 2020
    PubMed
    Summary
    This summary is machine-generated.

    Bio-inspired algorithms improve brain-computer interfaces (BCI) for motor control. Modified Particle Swarm Optimization (M-PSO) effectively selects features from brain signals, enhancing classification accuracy for individuals with motor disabilities.

    More Related Videos

    Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
    10:14

    Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

    Published on: May 10, 2024

    1.5K
    Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
    11:31

    Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

    Published on: December 5, 2014

    15.5K

    Related Experiment Videos

    Last Updated: Dec 6, 2025

    Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
    09:42

    Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

    Published on: September 1, 2023

    1.8K
    Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
    10:14

    Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

    Published on: May 10, 2024

    1.5K
    Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
    11:31

    Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

    Published on: December 5, 2014

    15.5K

    Area of Science:

    • Neuroscience and Biomedical Engineering
    • Focus on brain-computer interface (BCI) systems and motor control.

    Background:

    • Sensory feedback is crucial for motor control.
    • Brain-computer interfaces (BCI) enable communication and control for individuals with motor disabilities using brain signals.
    • Feature selection is vital for accurate classification in high-dimensional EEG/ECoG data for motor imagery (MI) based BCI.

    Purpose of the Study:

    • To evaluate the effectiveness of bio-inspired algorithms (BIAs) for feature selection in motor imagery (MI) based BCI.
    • To compare Ant Colony Optimization (ACO), Genetic Algorithm (GA), Cuckoo Search Algorithm (CSA), and Modified Particle Swom Optimization (M-PSO) on EEG and ECoG data.

    Main Methods:

    • Utilized bio-inspired algorithms (ACO, GA, CSA, M-PSO) for feature selection.
    • Employed Support Vector Machine (SVM) classifier to assess feature set performance.
    • Tested algorithms on both EEG and ECoG datasets.

    Main Results:

    • Modified Particle Swom Optimization (M-PSO) demonstrated high efficacy.
    • M-PSO achieved the least number of selected features (SF).
    • M-PSO exhibited fast convergence in few iterations.

    Conclusions:

    • Bio-inspired algorithms, particularly M-PSO, are effective for feature selection in MI-BCI.
    • M-PSO offers a promising approach for enhancing BCI performance by efficiently reducing data dimensionality.
    • This study contributes to developing more reliable BCI systems for motor rehabilitation and assistance.