The extension of multivariate synchronization index method for SSVEP-based BCI
Multichannel frequency detection methods for SSVEP-based BCI have received increasing
interest in recent years. Among the alternative methods, multivariate synchronization index …
interest in recent years. Among the alternative methods, multivariate synchronization index …
Robust frequency recognition for SSVEP-based BCI with temporally local multivariate synchronization index
Multivariate synchronization index (MSI) has been proved to be an efficient method for
frequency recognition in SSVEP-BCI systems. It measures the correlation according to the …
frequency recognition in SSVEP-BCI systems. It measures the correlation according to the …
Multivariate synchronization index for frequency recognition of SSVEP-based brain–computer interface
Multichannel frequency recognition methods are prevalent in SSVEP-BCI systems. These
methods increase the convenience of the BCI system for users and require no calibration …
methods increase the convenience of the BCI system for users and require no calibration …
Frequency recognition in SSVEP-based BCI using multiset canonical correlation analysis
Canonical correlation analysis (CCA) has been one of the most popular methods for
frequency recognition in steady-state visual evoked potential (SSVEP)-based brain …
frequency recognition in steady-state visual evoked potential (SSVEP)-based brain …
Filter bank-driven multivariate synchronization index for training-free SSVEP BCI
K Qin, R Wang, Y Zhang - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
In recent years, multivariate synchronization index (MSI) algorithm, as a novel frequency
detection method, has attracted increasing attentions in the study of brain-computer …
detection method, has attracted increasing attentions in the study of brain-computer …
Spatio-spectral CCA (SS-CCA): a novel approach for frequency recognition in SSVEP-based BCI
MN Cherloo, HK Amiri, MR Daliri - Journal of Neuroscience Methods, 2022 - Elsevier
Background Steady-state visually evoked potentials (SSVEP) are one of the most important
paradigms in the BCI Domain. Among the best methods for detecting frequency in the …
paradigms in the BCI Domain. Among the best methods for detecting frequency in the …
An Efficient Frequency Recognition Method Based on Likelihood Ratio Test for SSVEP‐Based BCI
An efficient frequency recognition method is very important for SSVEP‐based BCI systems to
improve the information transfer rate (ITR). To address this aspect, for the first time …
improve the information transfer rate (ITR). To address this aspect, for the first time …
Filter bank temporally local canonical correlation analysis for short time window SSVEPs classification
X Shao, M Lin - Cognitive Neurodynamics, 2020 - Springer
Canonical correlation analysis (CCA) method and its extended methods have been widely
and successfully applied to the frequency recognition in SSVEP-based BCI systems. As a …
and successfully applied to the frequency recognition in SSVEP-based BCI systems. As a …
Decoding SSVEP patterns from EEG via multivariate variational mode decomposition-informed canonical correlation analysis
L Chang, R Wang, Y Zhang - Biomedical Signal Processing and Control, 2022 - Elsevier
Steady-state visual evoked potential (SSVEP) is one of the most popular neural patterns
used to develop brain-computer interface (BCI). To address the issue of …
used to develop brain-computer interface (BCI). To address the issue of …
Two-stage frequency recognition method based on correlated component analysis for SSVEP-based BCI
A canonical correlation analysis (CCA) is a state-of-the-art method for frequency recognition
in steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI) …
in steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI) …