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   Articles with "ssvep based" as a keyword



Applying fuzzy decision for a single channel SSVEP-based BCI on automatic feeding robot

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recommendations! Published in 2018 at "Microsystem Technologies"

DOI: 10.1007/s00542-016-3229-0

Abstract: An application of steady state evoked potential (SSVEP) based brain–computer interface (BCI) has been developed by implementing the fuzzy decision model for the automatic feeding robot. Four blinking boxes were displayed on the corner of… read more here.

Keywords: based bci; fuzzy decision; ssvep based; automatic feeding ... See more keywords

A Single-Channel SSVEP-Based BCI with a Fuzzy Feature Threshold Algorithm in a Maze Game

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recommendations! Published in 2017 at "International Journal of Fuzzy Systems"

DOI: 10.1007/s40815-016-0289-3

Abstract: A mobile robot control in a maze game using steady-state visually evoked potential (SSVEP)-based brain–computer interface (BCI) is developed to help the severely disabled. In order to correctively induce the SSVEP of subjects, four visual… read more here.

Keywords: fuzzy feature; game; maze game; ssvep based ... See more keywords

Novel spatial filter for SSVEP-based BCI: A generated reference filter approach

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recommendations! Published in 2018 at "Computers in biology and medicine"

DOI: 10.1016/j.compbiomed.2018.02.019

Abstract: Steady state visual evoked potential (SSVEP)-based brain computer interface (BCI) systems can be realised using only one electrode; however, due to the inter-user and inter-trial differences, the handling of multiple electrode is preferred. This raises… read more here.

Keywords: ssvep based; novel spatial; method; reference ... See more keywords

Periodic component analysis as a spatial filter for SSVEP-based brain–computer interface

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recommendations! Published in 2018 at "Journal of Neuroscience Methods"

DOI: 10.1016/j.jneumeth.2018.06.003

Abstract: Abstract Background Traditional spatial filters used for steady-state visual evoked potential (SSVEP) extraction such as minimum energy combination (MEC) require the estimation of the background electroencephalogram (EEG) noise components. Even though this leads to improved… read more here.

Keywords: ssvep based; analysis; periodic component; ssvep ... See more keywords
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Age-related differences in SSVEP-based BCI performance

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recommendations! Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2016.08.121

Abstract: BrainComputer Interface (BCI) systems analyze brain signals to generate control commands for computer applications or external devices. Utilized as alternative communication channel, BCIs have the potential to assist people with severe motor disabilities to interact… read more here.

Keywords: based bci; bci performance; age related; ssvep based ... See more keywords

Enhancing the performance of SSVEP-based BCIs by combining task-related component analysis and deep neural network

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-024-84534-6

Abstract: Steady-State Visually Evoked Potential (SSVEP) signals can be decoded by either a traditional machine learning algorithm or a deep learning network. Combining the two methods is expected to enhance the performance of an SSVEP-based brain-computer… read more here.

Keywords: ssvep; performance ssvep; performance; network ... See more keywords

An investigation into the comfort and neural response of textured visual stimuli in pediatric SSVEP-based BCI

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-09540-8

Abstract: Steady-state visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs) are widely used due to their reliability and possible training-free setup. Common SSVEP stimuli are high contrast and solidly colored, potentially causing discomfort and visual fatigue, particularly… read more here.

Keywords: comfort; textured stimuli; comfort neural; ssvep based ... See more keywords

A high-performance SSVEP-based BCI using imperceptible flickers

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recommendations! Published in 2023 at "Journal of Neural Engineering"

DOI: 10.1088/1741-2552/acb50e

Abstract: Objective. Existing steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) struggle to balance user experience and system performance. This study proposed an individualized space and phase modulation method to code imperceptible flickers at 60 Hz… read more here.

Keywords: ssvep based; bci; modulation; geometry ... See more keywords

An SSVEP-based BCI with 112 targets using frequency spatial multiplexing

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recommendations! Published in 2024 at "Journal of Neural Engineering"

DOI: 10.1088/1741-2552/ad4091

Abstract: Objective. Brain–computer interface (BCI) systems with large directly accessible instruction sets are one of the difficulties in BCI research. Research to achieve high target resolution ( ⩾ 100) has not yet entered a rapid development… read more here.

Keywords: frequency spatial; ssvep; spatial multiplexing; ssvep based ... See more keywords

Maximum Signal Fraction Analysis for Enhancing Signal-to-Noise Ratio of EEG Signals in SSVEP-Based BCIs

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2925078

Abstract: Various improved canonical correlation analysis (CCA) methods were developed for enhancing the performance of steady-state visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs). Among them, the method combining CCA spatial filters from sine-cosine references and individual… read more here.

Keywords: noise ratio; ssvep based; signal noise; maximum signal ... See more keywords

Novel Sinusoidal Signal Assisted Multivariate Variational Mode Decomposition Combined With Task-Related Component Analysis for Enhancing SSVEP-Based BCI Performance

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recommendations! Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2024.3439391

Abstract: Brain-computer interfaces (BCIs) based on steady-state visually evoked potential (SSVEP) have a broad application prospect owing to their multiple command output and high performance. Each harmonic component of SSVEP individually contains unique features, which can… read more here.

Keywords: mode decomposition; ssvep; performance; ssvep based ... See more keywords