SSVEP Extraction Based on the Similarity of Background EEG-Reference-Cited by-同舟云学术

SSVEP Extraction Based on the Similarity of Background EEG

Published:2014-04-07 Issue:4 Volume:9 Page:e93884
ISSN:1932-6203
Container-title:PLoS ONE
language:en
Short-container-title:PLoS ONE

Author:

Wu Zhenghua

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference26 articles.

1. Brain-Computer Interfaces for Communication and Control;JR Wolpaw;Clinical Neurophysiology,2002

2. Brain-Computer Interfaces: Communication and Restoration of Movement in Paralysis;N Birbaumer;The Journal of Physiology,2007

3. Allison BZ, McFarland DJ, Wolpaw JR (2005) SSVEP Brain-Computer Interface Research at the GSU Brain Lab. Third International Brain-Computer Interface Meeting, Rensslaerville, NY, June 14–19.

4. BCI DemographicsII: How Many (and What Kinds of) People Can Use a High-Frequency SSVEP BCI?;I Volosyak;IEEE Transactions on Neural System and Rehabilitation Engineering,2011

5. Design and Implementation of a Brain-Computer Interface with High Transfer Rates. IEEE Trans;M Cheng;BME,2002

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluation of an online SSVEP-BCI with fast system setup;Journal of Neurorestoratology;2024-06

2. Enhancing multi-class SSVEP classification performance using regularized covariance estimators, spatiotemporal beamforming, and short-time EEG trials;Measurement;2024-01

3. An Open Dataset for Wearable SSVEP-Based Brain-Computer Interfaces;Sensors;2021-02-10

4. Nonlinear vector decomposed neural network based EEG signal feature extraction and detection of seizure;Microprocessors and Microsystems;2020-07

5. Steady-State Visual Evoked Potential-Based Real-Time BCI for Smart Appliance Control;Cognitive Informatics and Soft Computing;2018-08-12