Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Jun 18, 2026

Assessment and Communication for People with Disorders of Consciousness

Assessment and Communication for People with Disorders of Consciousness

Published on: August 1, 2017

Single trial independent component analysis for P300 BCI system.

Kun Li¹, Ravi Sankar, Yael Arbel

¹Electrical Engineering Department, University of South Florida, Tampa, FL 33620-5350, USA. li@mail.usf.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 8, 2009

Summary

This study introduces a novel single trial independent component analysis (ICA) method for Brain Computer Interfaces (BCI). The new ICA approach enhances data communication rates and achieves 76.67% accuracy in identifying P300 responses.

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

Habituation of P300 in the Use of P300-based Brain-Computer Interface Spellers: Individuals With Amyotrophic Lateral Sclerosis Versus Age-Matched Controls.

Clinical EEG and neuroscience·2020

Same author

Seeking neurophysiological manifestations of speech production: An ERP study.

International journal of psychophysiology : official journal of the International Organization of Psychophysiology·2019

Same author

The Error-Related Negativity.

Perspectives on psychological science : a journal of the Association for Psychological Science·2018

Same author

Developmental changes in the feedback related negativity from 8 to 14 years.

International journal of psychophysiology : official journal of the International Organization of Psychophysiology·2018

Same author

Schwann cell proliferation and differentiation that is induced by ferulic acid through MEK1/ERK1/2 signalling promotes peripheral nerve remyelination following crush injury in rats.

Experimental and therapeutic medicine·2016

Same author

Enhanced anaerobic degradation of Fischer-Tropsch wastewater by integrated UASB system with Fe-C micro-electrolysis assisted.

Chemosphere·2016

Area of Science:

Neuroscience
Biomedical Engineering
Signal Processing

Background:

Brain Computer Interfaces (BCI) enable communication via brain activity, bypassing muscle control.
BCIs leverage distinct brain responses to varying stimuli and attention levels.
Existing BCI systems require significant signal processing time.

Purpose of the Study:

To present a novel single trial independent component analysis (ICA) method for BCI systems.
To reduce signal processing time and enhance data communication rates in BCI.
To improve the accuracy of identifying neural responses within a BCI context.

Main Methods:

Implementation of a single trial independent component analysis (ICA) algorithm.
Integration of the ICA method with the Farwell and Donchin BCI system.

More Related Videos

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

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

Published on: September 8, 2023

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

Related Experiment Videos

Last Updated: Jun 18, 2026

Assessment and Communication for People with Disorders of Consciousness

Assessment and Communication for People with Disorders of Consciousness

Published on: August 1, 2017

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

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

Published on: September 8, 2023

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

Evaluation of the ICA method's performance on single trial P300 response identification.

Main Results:

The proposed ICA method significantly reduces signal processing time.
The data communication rate is improved by the novel ICA approach.
Achieved 76.67% accuracy in single trial P300 response identification.

Conclusions:

The single trial ICA method offers a more efficient approach to BCI signal processing.
This advancement holds potential for faster and more reliable brain-computer communication.
The method demonstrates a promising accuracy for real-time BCI applications.