Optimizing spatial properties of a new checkerboard-like visual stimulus for user-friendly SSVEP-based BCIs

被引:37
作者
Ming, Gege [1 ,2 ]
Pei, Weihua [1 ,2 ]
Chen, Hongda [1 ,3 ]
Gao, Xiaorong [4 ]
Wang, Yijun [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Semicond, State Key Lab Integrated Optoelect, Beijing, Peoples R China
[2] Univ Chinese Acad Sci, Sch Future Technol, Beijing, Peoples R China
[3] Univ Chinese Acad Sci, Coll Mat Sci & Optoelect Technol, Beijing, Peoples R China
[4] Tsinghua Univ, Sch Med, Dept Biomed Engn, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
brain-computer interfaces; checkerboard-like stimulus; electroencephalography; steady-state visual evoked potentials; task-related component analysis; FREQUENCY; CORTEX; RESPONSES; FLICKER; FIELD;
D O I
10.1088/1741-2552/ac284a
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Objective. Low-frequency steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) systems with high performance are prone to cause visual discomfort and fatigue. High-frequency SSVEP-based BCI systems can alleviate the discomfort, but always obtain lower performance. This study optimized the spatial properties of a proposed checkerboard-like visual stimulus toward high-performance and user-friendly SSVEP-based BCI systems. Approach. On the one hand, two checkerboard-like stimuli with distinct spatial contrasts (the black- and white-background) were designed to balance the tradeoff between BCI performance and user experience and compared with the traditional flickering stimulus. On the other hand, the impacts of the spatial frequency of the new checkerboard-like stimulus on the flicker perception and the intensity of the elicited SSVEP were clarified. The SSVEP-based BCI systems were implemented based on the checkerboard-like stimuli under low-frequency and high-frequency conditions. The user experience for each stimulation pattern was estimated by questionnaires for subjective evaluation. Main results. The comparison results indicate that the black-background checkerboard-like stimulus with an optimized spatial frequency achieved comparable performance and enhanced visual comfort compared with the flickering stimulus. Furthermore, the online nine-target BCI system using the black-background checkerboard-like stimuli achieved averaged information transfer rates of 124.0 +/- 2.3 and 109.0 +/- 20.4 bits min(-1) with low-frequency and high-frequency stimulation respectively. Significance. The new checkerboard-like stimuli with optimized properties show superiority of system performance and user experience in implementing SSVEP-based BCI, which will promote its practical applications in communication and control.
引用
收藏
页数:13
相关论文
共 33 条
[1]   V1 is not uniquely identified by polarity reversals of responses to upper and lower visual field stimuli [J].
Ales, Justin M. ;
Yates, Jacob L. ;
Norcia, Anthony M. .
NEUROIMAGE, 2010, 52 (04) :1401-1409
[2]   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)
[3]   The psychophysics toolbox [J].
Brainard, DH .
SPATIAL VISION, 1997, 10 (04) :433-436
[4]   A Self-Paced and Calibration-Less SSVEP-Based Brain-Computer Interface Speller [J].
Cecotti, Hubert .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2010, 18 (02) :127-133
[5]   High Frequency SSVEP-BCI With Hardware Stimuli Control and Phase-Synchronized Comb Filter [J].
Chabuda, Anna ;
Durka, Piotr ;
Zygierewicz, Jaroslaw .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2018, 26 (02) :344-352
[6]   High-speed spelling with a noninvasive brain-computer interface [J].
Chen, Xiaogang ;
Wang, Yijun ;
Nakanishi, Masaki ;
Gao, Xiaorong ;
Jung, Tzyy-Ping ;
Gao, Shangkai .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2015, 112 (44) :E6058-E6067
[7]   A high-ITR SSVEP-based BCI speller [J].
Chen, Xiaogang ;
Chen, Zhikai ;
Gao, Shangkai ;
Gao, Xiaorong .
BRAIN-COMPUTER INTERFACES, 2014, 1 (3-4) :181-191
[8]  
Chen XG, 2014, IEEE ENG MED BIO, P3993, DOI 10.1109/EMBC.2014.6944499
[9]   Polychromatic SSVEP stimuli with subtle flickering adapted to brain-display interactions [J].
Chien, Yu-Yi ;
Lin, Fang-Cheng ;
Zao, John K. ;
Chou, Ching-Chi ;
Huang, Yi-Pai ;
Kuo, Heng-Yuan ;
Wang, Yijun ;
Jung, Tzyy-Ping ;
Shieh, Han-Ping D. .
JOURNAL OF NEURAL ENGINEERING, 2017, 14 (01)
[10]   Commanding a robotic wheelchair with a high-frequency steady-state visual evoked potential based brain-computer interface [J].
Diez, Pablo F. ;
Torres Muller, Sandra M. ;
Mut, Vicente A. ;
Laciar, Eric ;
Avila, Enrique ;
Bastos-Filho, Teodiano Freire ;
Sarcinelli-Filho, Mario .
MEDICAL ENGINEERING & PHYSICS, 2013, 35 (08) :1155-1164