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

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...

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Bibliographic Details
Published in2010 2nd International Conference on Advanced Computer Control Vol. 2; pp. 579 - 583
Main Authors Li Zhao, Daofu Hu, Longteng Xiao, Hui Shen, Qingguo Meng
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2010
Subjects
Brain computer interfaces
Brain-Computer Interface
Data mining
Design methodology
Digital filters
Digital signal processors
DSP
Feature extraction
Information filtering
Information filters
Signal processing
SSVEP
Steady-state
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Summary: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.
ISBN:1424458455
9781424458455
DOI:10.1109/ICACC.2010.5486706