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

Granular Ball-Based Noise-Resistant Fuzzy Multineighborhood Feature Selection via Label Enhancement and Feature Graph.

IEEE transactions on neural networks and learning systems·2026
Same author

Neural Spelling: A Spell-Based BCI System for Language Neural Decoding.

IEEE transactions on bio-medical engineering·2026
Same author

Solvent-assisted sensing ability of <sup>19</sup>F reporter in simultaneous discrimination and quantification of proline and 4-hydroxyproline isomers.

Talanta·2026
Same author

A Hybrid Covert Attention-Augmented Motor Imagery Paradigm for Brain-Computer Interfaces.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

Requirements for Human Cerebral Organoids.

Cell proliferation·2026
Same author

Distinct effects of empathy on self-other processing revealed by different behavioral and EEG indices.

Cognitive, affective & behavioral neuroscience·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: Mar 27, 2026

Combined Shuttle-Box Training with Electrophysiological Cortex Recording and Stimulation as a Tool to Study Perception and Learning
08:43

Combined Shuttle-Box Training with Electrophysiological Cortex Recording and Stimulation as a Tool to Study Perception and Learning

Published on: October 22, 2015

10.8K

Extracting patterns of single-trial EEG using an adaptive learning algorithm.

Chin-Teng Lin, Yu-Kai Wang, Chieh-Ning Fang

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 7, 2016
    PubMed
    Summary
    This summary is machine-generated.

    Portable electroencephalogram (EEG) systems enable real-world brain-computer interfaces (BCI). This study shows an adaptive filter can extract clear brain signals from limited data, paving the way for practical BCI applications.

    More Related Videos

    Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients
    07:43

    Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients

    Published on: June 17, 2019

    8.4K
    SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
    11:01

    SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

    Published on: November 24, 2015

    13.9K

    Related Experiment Videos

    Last Updated: Mar 27, 2026

    Combined Shuttle-Box Training with Electrophysiological Cortex Recording and Stimulation as a Tool to Study Perception and Learning
    08:43

    Combined Shuttle-Box Training with Electrophysiological Cortex Recording and Stimulation as a Tool to Study Perception and Learning

    Published on: October 22, 2015

    10.8K
    Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients
    07:43

    Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients

    Published on: June 17, 2019

    8.4K
    SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
    11:01

    SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

    Published on: November 24, 2015

    13.9K

    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Signal Processing

    Background:

    • Advancements in brain imaging fuel brain-computer interface (BCI) development.
    • Real-world BCI requires portable devices and effective noise reduction.
    • Electroencephalogram (EEG) is a key non-invasive brain activity measurement technique.

    Purpose of the Study:

    • To evaluate a portable EEG system for acquiring brain dynamics.
    • To assess an adaptive filter (DR-RBFN) for analyzing EEG data.
    • To demonstrate the feasibility of BCI for real-life applications.

    Main Methods:

    • Utilized a portable, wireless EEG system during a rapid serial visual presentation (RSVP) paradigm with six subjects.
    • Employed traditional ensemble averaging (EA) for event-related potential (ERP) estimation.
    • Applied a data-reusing radial basis function network (DR-RBFN) adaptive filter for signal estimation.

    Main Results:

    • The portable EEG system demonstrated stable acquisition of brain activity.
    • Task-related potentials were clearly identified from limited EEG samples using DR-RBFN.
    • Artifact-free data was successfully obtained, validating the system's performance.

    Conclusions:

    • The portable EEG system reliably captures brain dynamics.
    • DR-RBFN effectively extracts relevant neural signals from sparse data.
    • This technology shows significant potential for transitioning BCI from lab to real-world use.