A Survey of Stimulation Methods Used in SSVEP-Based BCIs

Computational Intelligence and Neuroscience - Tập 2010 - Trang 1-12 - 2010
Danhua Zhu1,2,3, Jordi Bieger4,2, Gary Garcia‐Molina2, Ronald M. Aarts2,3
1College of Biomedical Engineering and Instrument Science, Zhejiang University, 310027, China
2Department of Brain, Body & Behavior, Philips Research Eindhoven, 5656 AE Eindhoven, The Netherlands
3Department of Signal Processing Systems, Technical University Eindhoven, 5600 MB Eindhoven, The Netherlands
4Department of Artificial Intelligence, Radboud University Nijmegen, 6500 HE Nijmegen, The Netherlands

Tóm tắt

Brain-computer interface (BCI) systems based on the steady-state visual evoked potential (SSVEP) provide higher information throughput and require shorter training than BCI systems using other brain signals. To elicit an SSVEP, a repetitive visual stimulus (RVS) has to be presented to the user. The RVS can be rendered on a computer screen by alternating graphical patterns, or with external light sources able to emit modulated light. The properties of an RVS (e.g., frequency, color) depend on the rendering device and influence the SSVEP characteristics. This affects the BCI information throughput and the levels of user safety and comfort. Literature on SSVEP-based BCIs does not generally provide reasons for the selection of the used rendering devices or RVS properties. In this paper, we review the literature on SSVEP-based BCIs and comprehensively report on the different RVS choices in terms of rendering devices, properties, and their potential influence on BCI performance, user safety and comfort.

Từ khóa


Tài liệu tham khảo

10.1016/S1388-2457(02)00057-3

10.1088/1741-2560/4/2/R03

10.1155/2009/864564

10.1007/s002210100682

10.1109/TNSRE.2006.875544

10.1111/j.1528-1167.2005.31405.x

10.1109/MEMB.2008.923958

10.1023/B:DOOP.0000036790.67234.22

10.1016/j.medengphy.2008.01.004

1989

10.1038/2101056a0

2003, PsychNology Journal, 1, 331

10.1109/TNSRE.2003.814449

2008, High frequency SSVEPs for BCI applications

10.1049/el:20060171

10.1088/1741-2560/5/1/004

10.1016/j.jneumeth.2007.09.024

10.1109/TBME.2007.897815

10.1088/1741-2560/4/4/L01

10.1109/TBME.2006.889160

10.1088/1741-2560/2/4/008

10.1088/1741-2560/6/4/046002

10.1109/TNSRE.2006.875576

10.1109/TNSRE.2006.875529

10.1109/TNSRE.2005.847369

10.1109/TBME.2005.851510

10.1109/TBME.2002.803536

10.1109/TBME.2006.889197

10.1109/TNSRE.2006.875578

10.1155/ASP.2005.3156

2008, Multi-command real-time brain machine interface using SSVEP: feasibility study for occipital and forehead sensor locations, 783

10.1155/2007/94561

10.1016/j.clinph.2007.09.121

2007, Neuroscience Research, 58, S70

10.1088/0967-3334/27/1/006

2004, Biomedizinsche Tecknik, 49, 63

10.1016/S1388-2457(99)00139-X

10.1038/nature01812

10.1073/pnas.0337630100

10.1073/pnas.0606668103

2002

Thông tin
Thông tin xuất bản

Computational Intelligence and Neuroscience

Tập 2010

1-12

Thông tin tác giả