Patterned visual stimuli for enhancement of SSVEP-based BCI performance

Author

da Cruz, Janir Nuno ; Chi Man Wong ; Teng Cao ; Feng Wan

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Macau, Taipa, China

fYear

2013

fDate

6-8 Nov. 2013

Firstpage

1045

Lastpage

1048

Abstract

Steady-state visual evoked potential (SSVEP) signals are weak and buried in noise. The signal-to-noise ratio (SNR) of SSVEPs is correlated with attention, and its enhancement contributes to the increase of the speed and accuracy of SSVEP-based brain-computer interfaces (BCIs). Therefore, in this paper it is proposed the use of patterns on the flickers not only to enhance the SNR but also to motivate the subjects and to boost the information-transfer rate (ITR). Experiments have shown an average increase of 43.6% of the SNR resulting in an increase of about 17.0% of the ITR, comparing to the traditional visual stimulator.

Keywords

brain-computer interfaces; electroencephalography; medical signal processing; signal denoising; visual evoked potentials; SSVEP-based BCI performance enhancement; SSVEP-based brain-computer interface accuracy; SSVEP-based brain-computer interface speed; electroencephalography; information-transfer rate; noise; patterned visual stimuli; signal-to-noise ratio; steady-state visual evoked potential signals; traditional visual stimulator; Accuracy; Brain-computer interfaces; Electrodes; Electroencephalography; Signal to noise ratio; Steady-state; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on

Conference_Location

San Diego, CA

ISSN

1948-3546

Type

conf

DOI

10.1109/NER.2013.6696116

Filename

6696116