An application of digital signal processor in Brain-Computer Interface based on steady-state Visual Evoked Potential

Author

Zhao, Li ; Hu, Daofu ; Xiao, Longteng ; Shen, Hui ; Meng, Qingguo

Author_Institution

Sch. of Autom. & Electr. Eng., Tianjin Univ. of Technol. & Educ., Tianjin, China

Volume

2

fYear

2010

fDate

27-29 March 2010

Firstpage

579

Lastpage

583

Abstract

This paper proposes the design method of a Brain-Computer Interface(BCI) system based on SSVEP. Achieved an effective collection and processing of SSVEP information through the combination of analog filtering and digital processing;Changed the features which were extracted from the processed signals into control commands to control the peripherals. In this paper, digital signal processor (DSP) is used in BCI, with its superior processing power and rich peripheral resources, a real-time processing and miniature BCI system become a realization.

Keywords

brain-computer interfaces; digital signal processing chips; feature extraction; filtering theory; medical signal processing; analog filtering; brain-computer interface; design method; digital processing; digital signal processor; feature extraction; steady-state visual evoked potential; Brain computer interfaces; Data mining; Design methodology; Digital filters; Digital signal processors; Feature extraction; Information filtering; Information filters; Signal processing; Steady-state; Brain-Computer Interface; DSP; SSVEP;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Control (ICACC), 2010 2nd International Conference on

Conference_Location

Shenyang

Print_ISBN

978-1-4244-5845-5

Type

conf

DOI

10.1109/ICACC.2010.5486706

Filename

5486706