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

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

273
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
273
Force Classification01:22

Force Classification

2.1K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Prefrontal fNIRS hemodynamic correlates of attentional load during rapid serial visual presentation tasks.

Frontiers in human neuroscience·2026
Same author

Fast BCIs: Leveraging Dual-Scale Time Windows with Test-Time Adaptation to Enhance Accuracy.

IEEE transactions on bio-medical engineering·2026
Same author

Unified Online Adaptation Framework for Correlation Analysis-based Spatial Filtering Methods in SSVEP-based BCIs.

IEEE journal of biomedical and health informatics·2026
Same author

Predicting Attention Decline: An Integrated Beta-Band and SSVEP Approach for Visual 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

Brain-Body Coupling in Listening to Metronomic Sounds and Music.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Graph Representations for Reading Comprehension Analysis using Large Language Model and Eye-Tracking biomarker.

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

Cortex-anchored sensor-space harmonics for event-related EEG.

Journal of neural engineering·2026
Same journal

Neural mechanisms of mixed speech and grasp representation in sensorimotor cortices.

Journal of neural engineering·2026
Same journal

Developing a binary communication protocol between biological neural networks using virtual white matter.

Journal of neural engineering·2026
Same journal

Spatiotemporally distinctive astrocytic and neuronal responses to repetitive intracortical microstimulation.

Journal of neural engineering·2026
Same journal

A neural mass modelling framework for evaluating EEG source localisation of seizure activity.

Journal of neural engineering·2026
Same journal

Functional and effective connectivity methods from SEEG for characterizing epileptogenic networks in refractory epilepsy: a comprehensive review and future directions.

Journal of neural engineering·2026
See all related articles

Related Experiment Video

Updated: Nov 26, 2025

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

13.5K

SSVEP-assisted RSVP brain-computer interface paradigm for multi-target classification.

Li-Wei Ko1,2,3,4, D Sandeep Vara Sankar1,2, Yufei Huang5

  • 1Department of Biological Science and Technology, Institute of Bioinformatics and Systems Biology, and International Ph.D. Program in Interdisciplinary Neuroscience, College of Biological Science and Technology, National Chiao Tung University, Hsinchu 300, Taiwan.

Journal of Neural Engineering
|December 8, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a hybrid Brain-Computer Interface (BCI) combining steady-state visual evoked potential (SSVEP) and rapid serial visual presentation (RSVP) to enhance multi-target selection. The novel hybrid BCI achieved high accuracy, improving communication for complex tasks.

Keywords:
brain–computer interfaceelectroencephalographyevent-related potentialmultiple targetsphysiological biomarkersvisual evoked potential

More Related Videos

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

790
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

2.9K

Related Experiment Videos

Last Updated: Nov 26, 2025

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

13.5K
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

790
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

2.9K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Brain-Computer Interface (BCI) optimizes human-device communication.
  • Rapid Serial Visual Presentation (RSVP) is effective for target recognition but has limited selection capabilities.
  • Hybrid BCI systems integrating multiple techniques can overcome individual limitations.

Purpose of the Study:

  • To propose and evaluate a novel hybrid steady-state visual evoked potential (SSVEP)-RSVP BCI system.
  • To enhance the classification performance of target/non-target objects in a multi-target scenario.
  • To investigate the influence of cognitive states on BCI performance.

Main Methods:

  • Developed a hybrid SSVEP-RSVP BCI paradigm.
  • Utilized SSVEP for focus localization and RSVP for target differentiation.
  • Analyzed electroencephalography (EEG) data, including resting theta and alpha band powers, to assess cognitive states.

Main Results:

  • Achieved 81.59% offline accuracy with 12 EEG channels and 78.10% online accuracy with 4 EEG channels.
  • Identified an inverse relationship between BCI performance and resting EEG power, indicating the impact of cognitive states like fatigue and attention.
  • Validated the effectiveness of the hybrid approach for multi-target selection.

Conclusions:

  • The hybrid SSVEP-RSVP BCI significantly improves performance in multi-target scenarios.
  • Cognitive state biomarkers (resting theta/alpha power) correlate with BCI performance, highlighting the need for adaptive paradigms.
  • The findings support the potential of hybrid BCIs for real-world applications requiring multiple user commands.