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

Improving P300 morphology through single-trial latency realignment: a comparative study of template-matching approaches.

Journal of neural engineering·2026
Same author

EEG Correlates of Upper Limb Function During the Box and Block Test After Stroke.

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

Transformative Technologies in Brain-Computer Interfaces-Innovations, Applications, and Challenges.

Brain connectivity·2026
Same author

Investigating the role of therapist-patient interaction during robot-assisted gait training after incomplete spinal cord injury: the INTER-RO-GAIT randomized controlled trial.

Trials·2026
Same author

Increasing EEG electrode density improves decoding of visual categories and source localization: an exploratory ultra-high-density EEG study.

Communications engineering·2026
Same author

Toward Brain-Computer Interface motor rehabilitation for people with Multiple Sclerosis.

Frontiers in medicine·2026
Same journal

Isolated Paroxysmal Right Upward Eye Deviation as the Sole Semiology of Childhood Occipital Epilepsy: An Electroclinical Case Report.

Clinical EEG and neuroscience·2026
Same journal

Hyperkinetic Seizures in Insular and Insulo-Opercular Seizure Onset: A Systematic Review.

Clinical EEG and neuroscience·2026
Same journal

Aperiodic Correction of Posterior Theta/Alpha Ratio Reduces Arousal-State Dependency in Routine EEG-Based Dementia Screening.

Clinical EEG and neuroscience·2026
Same journal

QEEG Guided Neurofeedback to Enhance Intellectual Functioning in Children with Intellectual Disability.

Clinical EEG and neuroscience·2026
Same journal

Brain Activity Changes Induced by Transcranial Direct Current Stimulation in Post-Stroke Motor Recovery: A Narrative Review.

Clinical EEG and neuroscience·2026
Same journal

EEG Profile Associated with the Developmental Outcomes of Preschool Children Born Very Preterm.

Clinical EEG and neuroscience·2026
See all related articles

Related Experiment Video

Updated: May 26, 2026

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment
10:14

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment

Published on: May 10, 2024

Asynchronous P300-based brain-computer interface to control a virtual environment: initial tests on end users.

Fabio Aloise1, Francesca Schettini, Pietro Aricò

  • 1Department Neuroelectrical Imaging and BCI Lab, Fondazione Santa Lucia IRCCS, Rome, Italy. f.aloise@hsantalucia.it

Clinical EEG and Neuroscience
|January 3, 2012
PubMed
Summary
This summary is machine-generated.

This study tested an asynchronous Brain-Computer Interface (BCI) system for home control with users experiencing motor disabilities or aging. The asynchronous BCI demonstrated superior performance and reliability, enhancing independence for daily living activities.

More Related Videos

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000
12:07

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000

Published on: July 29, 2009

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

Related Experiment Videos

Last Updated: May 26, 2026

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment
10:14

Motor Imagery Performance Through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment

Published on: May 10, 2024

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000
12:07

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000

Published on: July 29, 2009

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

Area of Science:

  • Neuroscience
  • Human-Computer Interaction
  • Rehabilitation Engineering

Background:

  • Motor disabilities and aging significantly impact quality of life by limiting access to home facilities.
  • Accessible user interfaces for domotic appliances are crucial for improving independence in individuals with reduced autonomy.
  • Previous validation of an asynchronous P300-based Brain-Computer Interface (BCI) involved healthy young volunteers for environmental control.

Purpose of the Study:

  • To evaluate the efficacy of an asynchronous P300-based BCI system for environmental control in potential end-users with limited autonomy.
  • To compare the performance of asynchronous and synchronous BCI modalities in adapting to user states and ensuring reliable interaction.
  • To assess the system's potential for improving independence in daily living activities for individuals with motor disabilities and/or aging.

Main Methods:

  • Testing an asynchronous P300-based BCI system with potential end-users from a home care organization experiencing age-related or motor-related autonomy limitations.
  • Analyzing the intra-subject variability in stimulation sequences required for correct classification compared to previous studies with young controls.
  • Comparing the performance of asynchronous BCI against synchronous BCI in terms of adaptive speed and classification accuracy.

Main Results:

  • Potential end-users exhibited higher intra-subject variability in the number of stimulation sequences needed for accurate classification compared to young controls.
  • The asynchronous BCI modality significantly outperformed the synchronous mode by continuously adapting its speed to the user's state.
  • The asynchronous system demonstrated reliability in preventing misclassifications and false positives, consistent with findings in healthy young subjects.

Conclusions:

  • The asynchronous P300-based BCI system shows enhanced usability and reliability for environmental control in individuals with motor disabilities and/or aging.
  • The adaptive speed and accuracy of the asynchronous modality suggest its potential to bridge the usability gap between BCI and traditional input devices.
  • This BCI approach represents a significant advancement towards enabling greater independence and participation in daily living activities for a vulnerable population.