Filter bank second-order underdamped stochastic resonance analysis for implementing a short-term high-speed SSVEP detection
Objective: The progression of brain-computer interfaces (BCIs) has been propelled by breakthroughs in neuroscience, signal processing, and machine learning, marking it as a dynamic field of study over the past few decades. Nevertheless, the nonlinear and non-stationary characteristics of steady-stat...
Main Authors: | Ruiquan Chen, Guanghua Xu, Huanqing Zhang, Xun Zhang, Jieren Xie, Peiyuan Tian, Sicong Zhang, Chengcheng Han |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2024-01-01
|
Series: | NeuroImage |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811923006511 |
Similar Items
-
A novel untrained SSVEP-EEG feature enhancement method using canonical correlation analysis and underdamped second-order stochastic resonance
by: Ruiquan Chen, et al.
Published: (2023-10-01) -
Enhancing Performance of SSVEP-Based Visual Acuity via Spatial Filtering
by: Xiaowei Zheng, et al.
Published: (2021-08-01) -
Solving the SSVEP Paradigm Using the Nonlinear Canonical Correlation Analysis Approach
by: Danni Rodrigo De la Cruz-Guevara, et al.
Published: (2021-08-01) -
Design and Implementation of an Asynchronous BCI System With Alpha Rhythm and SSVEP
by: Lei Zhang, et al.
Published: (2019-01-01) -
A modified Canonical Correlation Analysis Method for SSVEP Frequency Recognition
by: Sahar Sadeghi, et al.
Published: (2018-12-01)