SSVEP-based Bremen-BCI interface-boosting information transfer rates

被引:171
作者
Volosyak, Ivan [1 ]
机构
[1] Univ Bremen, Inst Automat, D-28359 Bremen, Germany
关键词
BRAIN-COMPUTER INTERFACE; FREQUENCY;
D O I
10.1088/1741-2560/8/3/036020
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
In recent years, there has been increased interest in using steady-state visual evoked potentials (SSVEP) in brain-computer interface (BCI) systems; the SSVEP approach currently provides the fastest and most reliable communication paradigm for the implementation of a non-invasive BCI. This paper presents recent developments in the signal processing of the SSVEP-based Bremen BCI system, which allowed one of the subjects in an online experiment to reach a peak information transfer rate (ITR) of 124 bit min(-1). It is worth mentioning that this ITR value is higher than all values previously published in the literature for any kind of BCI paradigm.
引用
收藏
页数:11
相关论文
共 35 条
[1]   BCI Demographics: How Many (and What Kinds of) People Can Use an SSVEP BCI? [J].
Allison, Brendan ;
Lueth, Thorsten ;
Valbuena, Diana ;
Teymourian, Amir ;
Volosyak, Ivan ;
Graeser, Axel .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2010, 18 (02) :107-116
[2]  
[Anonymous], 2007, BRAIN COMPUTER INTER
[3]   VEP-Based Brain-Computer Interfaces: Time, Frequency, and Code Modulations [J].
Bin, Guangyu ;
Gao, Xiaorong ;
Wang, Yijun ;
Hong, Bo ;
Gao, Shangkai .
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2009, 4 (04) :22-26
[4]   An online multi-channel SSVEP-based brain-computer interface using a canonical correlation analysis method [J].
Bin, Guangyu ;
Gao, Xiaorong ;
Yan, Zheng ;
Hong, Bo ;
Gao, Shangkai .
JOURNAL OF NEURAL ENGINEERING, 2009, 6 (04)
[5]   Improved signal processing approaches in an offline simulation of a hybrid brain-computer interface [J].
Brunner, Clemens ;
Allison, Brendan Z. ;
Krusienski, Dean J. ;
Kaiser, Vera ;
Mueller-Putz, Gernot R. ;
Pfurtscheller, Gert ;
Neuper, Christa .
JOURNAL OF NEUROSCIENCE METHODS, 2010, 188 (01) :165-173
[6]   Multiple channel detection of steady-state visual evoked potentials for brain-computer interfaces [J].
Friman, Ola ;
Volosyak, Ivan ;
Graeser, Axel .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2007, 54 (04) :742-750
[7]   A BCI-based environmental controller for the motion-disabled [J].
Gao, XR ;
Xu, DF ;
Cheng, M ;
Gao, SK .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2003, 11 (02) :137-140
[8]   An SSVEP-Based Brain-Computer Interface for the Control of Functional Electrical Stimulation [J].
Gollee, Henrik ;
Volosyak, Ivan ;
McLachlan, Angus J. ;
Hunt, Kenneth J. ;
Graeser, Axel .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2010, 57 (08) :1847-1855
[9]  
GRASER A, 2010, BRAINROBOT METHODS A
[10]   Human EEG responses to 1-100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena [J].
Herrmann, CS .
EXPERIMENTAL BRAIN RESEARCH, 2001, 137 (3-4) :346-353