Cross-subject spatial filter transfer method for SSVEP-EEG feature recognition

W Yan, Y Wu, C Du, G Xu - Journal of Neural Engineering, 2022 - iopscience.iop.org
Objective. Steady-state visual evoked potential (SSVEP) is an important control method of
the brain–computer interface (BCI) system. The development of an efficient SSVEP feature …

Frequency domain filtering method for SSVEP-EEG preprocessing

W Yan, B He, J Zhao, Y Wu, C Du… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Steady-state visual evoked potential (SSVEP) signal collected from the scalp typically
contains other types of electric signals, and it is important to remove these noise …

SSVEP unsupervised adaptive feature recognition method based on self-similarity of same-frequency signals

W Yan, B He, J Zhao - Frontiers in Neuroscience, 2023 - frontiersin.org
Introduction As an important human-computer interaction technology, steady-state visual
evoked potential (SSVEP) plays a key role in the application of brain computer interface …

A Complementary Dual‐Mode Ion‐Electron Conductive Hydrogel Enables Sustained Conductivity for Prolonged Electroencephalogram Recording

H Su, L Mao, X Chen, P Liu, J Pu, Z Mao… - Advanced …, 2024 - Wiley Online Library
Conductive gel interface materials are widely employed as reliable agents for
electroencephalogram (EEG) recording. However, prolonged EEG recording poses …

[HTML][HTML] Improving the performance of SSVEP-BCI contaminated by physiological noise via adversarial training

D Wang, A Liu, B Xue, L Wu, X Chen - Medicine in Novel Technology and …, 2023 - Elsevier
Brain-computer interface (BCI) based on Steady-State Visual Evoked Potentials (SSVEP)
provides an effective method for human-computer communication. In practical application …

Improved Artificial Rabbit Optimization and its Application in Multichannel Signal Denoising

Y Li, G Tian, Y Yi, Y Yuan - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
The application of multichannel signals, along with the development of sensors, has greatly
improved the efficiency of modern communication and data processing systems. However …

SSVEP-EEG feature enhancement method using an image sharpening filter

W Yan, G Xu, Y Du, X Chen - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
Steady-state visual evoked potential (SSVEP) is widely used in brain computer interface
(BCI), medical detection, and neuroscience, so there is significant interest in enhancing …

Enhancing Performance of Single-Channel SSVEP-Based Visual Acuity Assessment via Mode Decomposition

X Zheng, X Zhang, G Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This study aimed to improve the performance of single-channel steady-state visual evoked
potential (SSVEP)-based visual acuity assessment by mode decomposition methods. Using …

[HTML][HTML] Progress in Non-Invasive Cognitive Brain-Computer Interface and Implications for Mind-Uploading

IWAD Astawa, HD Purnomo, I Sembiring - International Journal of Artificial …, 2024 - ijair.id
Mind-uploading, the vision of transferring human consciousness into a digital realm, relies
on a profound comprehension of the brain and cutting-edge technology. Non-invasive …

Novel empirical curvelet denoising strategy for suppressing mixed noise of microseismic data

L Feng, B Li, H Li, J He - Computers & Geosciences, 2025 - Elsevier
We present a novel denoising strategy based on empirical curvelet transform (ECT) for noisy
microseismic data. Our approach can simultaneously suppress high-frequency, low …