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

SGK1 Attenuates Oxidative Stress-Induced Renal Tubular Epithelial Cell Injury by Regulating Mitochondrial Function.

Oxidative medicine and cellular longevity·2019
Same author

LncRNA PCAT6 increased cholangiocarcinoma cell proliferation and invasion via modulating miR-330-5p.

American journal of translational research·2019
Same author

Green Phosphors Based on 9,10-bis((4-((3,7-dimethyloctyl)oxy) phenyl) ethynyl) Anthracene for LED.

Micromachines·2019
Same author

Circulating vitamin E and cardiometabolic measures: a Mendelian randomization analysis.

Journal of clinical biochemistry and nutrition·2019
Same author

Prediction model comparison for gestational diabetes mellitus with macrosomia based on risk factor investigation.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians·2019
Same author

Development and Clinical Validation of Multiple Cross Displacement Amplification Combined With Nanoparticles-Based Biosensor for Detection of <i>Mycobacterium tuberculosis</i>: Preliminary Results.

Frontiers in microbiology·2019
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 30, 2025

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

854

A P300-based Brain Computer Interface Using Stereo-electroencephalography Signals.

Weichen Huang, Tianyou Yu, Jing Xiao

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 18, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This study developed a Brain Computer Interface (BCI) using stereo-electroencephalography (SEEG) signals from epileptic patients. The SEEG-based BCI achieved high accuracy, demonstrating its potential for assistive communication.

    More Related Videos

    Assessment and Communication for People with Disorders of Consciousness
    07:37

    Assessment and Communication for People with Disorders of Consciousness

    Published on: August 1, 2017

    9.5K
    A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
    06:34

    A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

    Published on: July 7, 2023

    3.1K

    Related Experiment Videos

    Last Updated: Dec 30, 2025

    P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
    06:09

    P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

    Published on: September 8, 2023

    854
    Assessment and Communication for People with Disorders of Consciousness
    07:37

    Assessment and Communication for People with Disorders of Consciousness

    Published on: August 1, 2017

    9.5K
    A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
    06:34

    A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

    Published on: July 7, 2023

    3.1K

    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Rehabilitation Engineering

    Background:

    • Stereo-electroencephalography (SEEG) involves implanting deep intracranial electrodes for diagnosing epilepsy.
    • Brain Computer Interfaces (BCIs) offer potential communication pathways for individuals with severe motor impairments.

    Purpose of the Study:

    • To implement and evaluate a P300-based BCI system utilizing SEEG signals.
    • To assess the performance and accuracy of the SEEG-based BCI in epileptic patients.

    Main Methods:

    • A P300-based BCI was developed using SEEG signals recorded from five epileptic patients.
    • A graphical user interface (GUI) presented 40 flashing buttons corresponding to numbers.
    • Participants focused on desired flashing buttons to select numbers, and performance was measured via online accuracy.

    Main Results:

    • The SEEG-based BCI achieved a high average online accuracy of 97.33%.
    • Single-channel analysis demonstrated an average accuracy of 82.00%, highlighting the signal quality.
    • The high performance was attributed to the superior quality of SEEG signals.

    Conclusions:

    • The developed SEEG-based BCI demonstrates high performance and accuracy.
    • SEEG signals are a viable and high-quality source for advanced BCI applications.
    • This technology holds promise for improving communication for individuals with neurological conditions.