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Cross-subject transfer method based on domain generalization for facilitating calibration of SSVEP-based BCIs
In steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs),
various spatial filtering methods based on individual calibration data have been proposed to …
various spatial filtering methods based on individual calibration data have been proposed to …
Enhancing SSVEP identification with less individual calibration data using periodically repeated component analysis
Y Ke, S Liu, D Ming - IEEE Transactions on Biomedical …, 2023 - ieeexplore.ieee.org
Objective: Spatial filtering and template matching-based steady-state visually evoked
potentials (SSVEP) identification methods usually underperform in SSVEP identification with …
potentials (SSVEP) identification methods usually underperform in SSVEP identification with …
Cross-stimulus transfer method using common impulse response for fast calibration of SSVEP-based BCIs
To achieve a high information transfer rate (ITR) in steady-state visual evoked potential
(SSVEP)-based brain-computer interfaces (BCIs), current decoding methods require …
(SSVEP)-based brain-computer interfaces (BCIs), current decoding methods require …
Compact artificial neural network based on task attention for individual SSVEP recognition with less calibration
Objective: Recently, artificial neural networks (ANNs) have been proven effective and
promising for the steady-state visual evoked potential (SSVEP) target recognition …
promising for the steady-state visual evoked potential (SSVEP) target recognition …
Almost free of calibration for SSVEP-based brain-computer interfaces
Objective. Steady-state visual evoked potential (SSVEP)-based brain-computer interface
(BCI) is a promising technology that can achieve high information transfer rate (ITR) with …
(BCI) is a promising technology that can achieve high information transfer rate (ITR) with …
Deep transfer learning-based SSVEP frequency domain decoding method
H **ong, J Song, J Liu, Y Han - Biomedical Signal Processing and Control, 2024 - Elsevier
Objective Improving the decoding accuracy and information transfer rate (ITR) of a steady-
state visual evoked potential-based brain-computer interface (SSVEP-BCI) system and …
state visual evoked potential-based brain-computer interface (SSVEP-BCI) system and …
A precise frequency recognition method of short-time SSVEP signals based on signal extension
Objective: Improving the Information Transfer Rate (ITR) is a popular research topic in
steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs). The …
steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs). The …
Temporally Local Weighting-Based Phase-Locked Time-Shift Data Augmentation Method for Fast-Calibration SSVEP-BCI
Various training-based spatial filtering methods have been proposed to decode steady-state
visual evoked potentials (SSVEPs) efficiently. However, these methods require extensive …
visual evoked potentials (SSVEPs) efficiently. However, these methods require extensive …
Leveraging spatio temporal estimation for online adaptive steady state visual evoked potential recognition
Online adaptive canonical correction analysis (OACCA) has been applied successfully in
the recently popular steady-state visual evoked potential (SSVEP) target recognition …
the recently popular steady-state visual evoked potential (SSVEP) target recognition …
Short-length SSVEP data extension by a novel generative adversarial networks based framework
Steady-state visual evoked potentials (SSVEPs) based brain–computer interface (BCI) has
received considerable attention due to its high information transfer rate (ITR) and available …
received considerable attention due to its high information transfer rate (ITR) and available …