Steady-state visual evoked potential (SSVEP)

Improving the Performance of Individually Calibrated SSVEP Classification by Rhythmic Entrainment Source Separation
Improving the Performance of Individually Calibrated SSVEP Classification by Rhythmic Entrainment Source Separation 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Objective: The supervised decoding algorithms of Steady-State Visual Evoked Potentials (SSVEP) have achieved remarkable performance with sufficient training data. However, these methods have typically failed to achieve acceptable performance in… read more

An Asynchronous Training-Free SSVEP-BCI Detection Algorithm for Non-Equal Prior Probability Scenarios
An Asynchronous Training-Free SSVEP-BCI Detection Algorithm for Non-Equal Prior Probability Scenarios 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
SSVEP-based brain-computer interface (BCI) systems have received a lot of attention due to their relatively high Signal to Noise Ratio (SNR) and less training requirements. Most of the existing steady-state… read more
A Benchmark Dataset for SSVEP-Based Brain-Computer Interfaces

A Benchmark Dataset for SSVEP-Based Brain-Computer Interfaces
Author(s)3: Yijun Wang, Xiaogang Chen, Xiaorong Gao, Shangkai Gao
A Benchmark Dataset for SSVEP-Based Brain-Computer Interfaces 691 389 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

    This paper presents a benchmark steady-state visual evoked potential (SSVEP) dataset acquired with a 40-target brain-computer interface (BCI) speller. The dataset consists of 64-channel Electroencephalogram (EEG) data from 35…

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Evaluate the feasibility of using frontal SSVEP to implement an SSVEP – based BCI in Young, Elderly and ALS groups
Author(s)3: Hao-Teng Hsu, I-Hui Lee, Han-Ting Tsai, Chun-Yen Chang, Hsiang-Chih Chang, Chuan-Chih Hsu, Kuo-Kai Shyu, Hsiao-Huang Chang, Ting-Kuang Yeh, Po-Lei Lee
Evaluate the feasibility of using frontal SSVEP to implement an SSVEP – based BCI in Young, Elderly and ALS groups 780 310 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

This paper studied the amplitude-frequency characteristic of frontal steady-state visual evoked potential (SSVEP) and its feasibility as a control signal for brain computer interface (BCI). SSVEPs induced by different stimulation…

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