Effects of Distracting Task with Different Mental Workload on Steady-State Visual Evoked Potential Based Brain Computer Interfaces—an Offline Study
Brain-computer interfaces (BCIs), independent of the brain's normal output pathways, are attracting an increasing amount of attention as devices that extract neural information. As a typical type of BCI system, the steady-state visual evoked potential (SSVEP)-based BCIs possess a high signal-to...
Main Authors: | Yawei Zhao, Jiabei Tang, Yong Cao, Xuejun Jiao, Minpeng Xu, Peng Zhou, Dong Ming, Hongzhi Qi |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2018-02-01
|
Series: | Frontiers in Neuroscience |
Subjects: | |
Online Access: | http://journal.frontiersin.org/article/10.3389/fnins.2018.00079/full |
Similar Items
-
Decoding Steady-State Visual Evoked Potentials From Electrocorticography
by: Benjamin Wittevrongel, et al.
Published: (2018-09-01) -
Convolutional Neural Network-Based Classification of Steady-State Visually Evoked Potentials with Limited Training Data
by: Marcin Kołodziej, et al.
Published: (2023-12-01) -
Augmented Reality Driven Steady-State Visual Evoked Potentials for Wheelchair Navigation
by: V. Sakkalis, et al.
Published: (2022-01-01) -
Accurate Decoding of Short, Phase-Encoded SSVEPs
by: Ahmed Youssef Ali Amer, et al.
Published: (2018-03-01) -
Development of a Brain-Computer Interface-Based Symbol Digit Modalities Test and Validation in Healthy Elderly Volunteers and Stroke Patients
by: Xiaogang Chen, et al.
Published: (2022-01-01)