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

One-Way ANOVA: Equal Sample Sizes01:15

One-Way ANOVA: Equal Sample Sizes

4.1K
One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
4.1K
Electric Field of Two Equal and Opposite Charges01:30

Electric Field of Two Equal and Opposite Charges

7.1K
Atoms generally contain the same number of positively and negatively charged particles, protons, and electrons. Hence, they are electrically neutral. However, the centers of the positive and negative charges do not always coincide. In such a scenario, the electric field of an atom may not be zero.
A separation of the positive and negative charges can lead to a weak, remnant effect of the positive and negative charges. The expectation is that the more the distance between the positive and...
7.1K
Protein-protein Interfaces02:04

Protein-protein Interfaces

14.7K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
14.7K
Protein-Protein Interfaces02:04

Protein-Protein Interfaces

4.5K
4.5K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

424
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
424
Dynamic Equilibrium02:20

Dynamic Equilibrium

63.0K
A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
63.0K

You might also read

Related Articles

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

Sort by
Same author

Few-mode fiber based Raman distributed temperature sensing.

Optics express·2017
Same author

Tripodal S-Ligand Complexes of Copper(I) as Catalysts for Alkene Aziridination, Sulfide Sulfimidation, and C-H Amination.

Inorganic chemistry·2017
Same author

5-aminolevulinic acid-mediated photodynamic therapy and its strain-dependent combined effect with antibiotics on Staphylococcus aureus biofilm.

PloS one·2017
Same author

Optimized Multiresidue Analysis of Organic Contaminants of Priority Concern in a Daily Consumed Fish (Grass Carp).

Journal of analytical methods in chemistry·2017
Same author

Deubiquitinating enzyme USP20 is a positive regulator of Claspin and suppresses the malignant characteristics of gastric cancer cells.

International journal of oncology·2017
Same author

Evaluation of the implementation rate of primary antifungal prophylaxis and the prognosis of invasive fungal disease in acute leukemia patients in China.

Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy·2017
Same journal

Latent Space Projections and Atlases, a Cautionary Tale in Deep Neuroimaging using Autoencoders.

International journal of neural systems·2026
Same journal

Transformer-Based Anomaly Detection for Neurodegenerative Screening in MRI Images.

International journal of neural systems·2026
Same journal

Discrete Wavelet Convolution for Learnable Time-Frequency Representation with Application to Seizure Prediction.

International journal of neural systems·2026
Same journal

Automatic Seizure Detection using Hierarchical Spectral-Temporal Feature Learning with an Imbalance-Aware Transformer.

International journal of neural systems·2026
Same journal

Pyramid Vision Transformer-Enhanced Conformer Network for Epileptic Seizure Recognition Using MultiChannel EEG Signals.

International journal of neural systems·2026
Same journal

A Time-Frequency Decoupled Contrastive Learning Framework for Electroencephalography-Based Parkinson's Disease Diagnosis.

International journal of neural systems·2026
See all related articles

Related Experiment Video

Updated: Feb 6, 2026

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

13.8K

A Dynamic Window Recognition Algorithm for SSVEP-Based Brain-Computer Interfaces Using a Spatio-Temporal Equalizer.

Chen Yang1, Xu Han1, Yijun Wang2

  • 11 Department of Biomedical Engineering, Tsinghua University, Beijing, P. R. China.

International Journal of Neural Systems
|August 15, 2018
PubMed
Summary
This summary is machine-generated.

A new spatio-temporal equalization dynamic window (STE-DW) algorithm improves brain-computer interfaces (BCIs) by reducing training time and enhancing usability. This method boosts accuracy and information transfer rates for steady-state visual evoked potential (SSVEP)-based BCIs.

Keywords:
Brain–computer interfacedynamic windowspatio-temporal equalizationsteady-state visual evoked potentials

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

958
A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions
09:09

A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions

Published on: November 23, 2015

9.1K

Related Experiment Videos

Last Updated: Feb 6, 2026

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

13.8K
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

958
A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions
09:09

A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions

Published on: November 23, 2015

9.1K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Brain-computer interfaces (BCIs) have advanced rapidly, but user training and system usability remain significant challenges.
  • Steady-state visual evoked potential (SSVEP)-based BCIs offer a promising avenue, yet require efficient recognition algorithms.
  • Existing algorithms often struggle with background noise and adaptability across different users.

Purpose of the Study:

  • To develop and evaluate a novel spatio-temporal equalization dynamic window (STE-DW) recognition algorithm for SSVEP-based BCIs.
  • To improve the ease-of-use and reduce the training burden associated with SSVEP-BCI systems.
  • To enhance the accuracy and information transfer rate (ITR) of SSVEP-BCI systems.

Main Methods:

  • Proposed a spatio-temporal equalization dynamic window (STE-DW) algorithm incorporating adaptive stimulus time control.
  • Utilized spatio-temporal equalization to mitigate background noise correlations.
  • Implemented a stimulus termination criterion based on multiple hypotheses testing to dynamically adjust the analysis window.

Main Results:

  • The STE-DW algorithm demonstrated superior performance in accuracy and ITR compared to FBCCA, CVARS, CCA, and CCA-RV in benchmark and offline datasets.
  • Achieved an average ITR of 134 bits/min on a benchmark dataset and 116 bits/min in offline experiments.
  • Online experiments confirmed the STE-DW algorithm's effectiveness in expanding user applicability for SSVEP-BCI systems.

Conclusions:

  • The STE-DW algorithm offers a significant improvement for SSVEP-based BCIs, balancing ease of use, accuracy, and ITR.
  • It is a reliable, training-free identification algorithm suitable for broader SSVEP-BCI adoption.
  • The adaptive nature of STE-DW enhances system adaptability and user applicability.