DocumentCode :
1299865
Title :
Frequency and Phase Mixed Coding in SSVEP-Based Brain--Computer Interface
Author :
Jia, Chuan ; Gao, Xiaorong ; Hong, Bo ; Shangkai Gao
Author_Institution :
Dept. of Biomed. Eng., Tsinghua Univ., Beijing, China
Volume :
58
Issue :
1
fYear :
2011
Firstpage :
200
Lastpage :
206
Abstract :
Frequency coding has been the traditional method implemented in steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCI). However, it is limited in terms of possible target numbers and, consequently, inappropriate for certain applications involving liquid crystal display (LCD) with multiple stimuli. This paper proposes an innovative coding method for SSVEP that, through a combination of frequency and phase, increases the number of targets, thus it improves the information transfer rate (ITR). With this method, a BCI system with 15 targets was developed using three stimulus frequencies, which is five times as many targets as the traditional method. Additionally, this paper defines the concept of reference phase, and decodes the EEG by means of Fourier coefficient projections onto the reference phase directions. Through the optimization of lead position, reference phase, data segment length, and harmonic components, the average ITR exceeded 60 bits/min in a simulated online test with ten subjects.
Keywords :
brain-computer interfaces; electroencephalography; encoding; medical signal processing; visual evoked potentials; EEG; Fourier coefficient projections; LCD; SSVEP based BCI; SSVEP based brain-computer interface; SSVEP coding method; data segment length optimization; frequency-phase mixed coding; harmonic component optimization; information transfer rate; lead position optimization; liquid crystal display; multiple stimuli; reference phase directions; reference phase optimization; steady state visual evoked potential; Accuracy; Electroencephalography; Frequency measurement; Harmonic analysis; Lead; Materials; Phase measurement; Brain--computer interfaces (BCI); frequency coding; phase coding; steady-state visual evoked potential (SSVEP); Adult; Algorithms; Electroencephalography; Evoked Potentials, Visual; Fourier Analysis; Humans; Man-Machine Systems; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2010.2068571
Filename :
5551180
Link To Document :
بازگشت