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 Experiment Video

Updated: Jul 17, 2026

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

Effect of ocular artifact removal in brain computer interface accuracy.

M Thulasidas1, C Guan, S Ranganatha

  • 1NeuroInformatics, Institute for Infocomm Research, Singapore.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 3, 2007
PubMed
Summary

Removing ocular artifacts significantly impacts brain-computer interface accuracy. This study compares artifact removal algorithms for P300-based word processing, moving beyond subjective visual analysis to objective performance metrics.

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

Properties of Heavy Cosmic Nuclei Phosphorus, Chlorine, Argon, Potassium, and Calcium: Results from the Alpha Magnetic Spectrometer.

Physical review letters·2026
Same author

First Evidence of Porcine Epidemic Diarrhoea Virus and African Swine Fever Virus Natural Co-Infection in Pigs from Karnataka, India: An Epidemiological Investigation.

Current microbiology·2026
Same author

Relationship between TyG trajectories and Alzheimer's disease: data from the Framingham Heart Study.

Revista clinica espanola·2025
Same author

Transmission patterns of malignant catarrhal fever in sheep and cattle in Karnataka, India.

Veterinary research communications·2024
Same author

Continuous Erroneous Feedback Processing during Deviation from the Road within a 2D Steering Task<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2023
Same author

Isolation and genetic analysis of Porcine circovirus 2 in southern India evidences high circulation of Porcine circovirus 2d genotype.

Molecular biology reports·2022

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Ocular artifacts contaminate electroencephalography (EEG) signals, particularly the P300 component.
  • Accurate artifact removal is crucial for reliable brain-computer interface (BCI) performance.
  • Current evaluation of artifact removal methods often relies on subjective visual inspection.

Purpose of the Study:

  • To investigate the impact of ocular artifact removal on P300-based word processing.
  • To provide an objective comparison of different artifact rectification algorithms.
  • To enhance the accuracy and reliability of BCI systems.

Main Methods:

  • Utilized a P300-based word-processing BCI application.
  • Implemented and evaluated various algorithms for removing ocular artifacts from EEG data.

More Related Videos

Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes
08:27

Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes

Published on: March 3, 2023

Related Experiment Videos

Last Updated: Jul 17, 2026

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

Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes
08:27

Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes

Published on: March 3, 2023

  • Compared algorithm performance based on objective metrics related to BCI accuracy.

    • Main Results:

    • Demonstrated a direct correlation between artifact rectification effectiveness and BCI system accuracy.
    • Quantified the performance improvements achieved by different artifact removal techniques.
    • Established a basis for objective algorithm selection.

    Conclusions:

    • Objective comparison of artifact removal algorithms is essential for BCI development.
    • Effective ocular artifact removal significantly boosts the performance of P300 spellers.
    • This work facilitates the selection of optimal algorithms for improved BCI applications.