Detection of Steady-State Visual Evoked Potentials Using Simulated Trains of Transient Evoked Potentials

被引:0
|
作者
Gaume, Antoine [1 ,2 ]
Vialatte, Francois [1 ]
Dreyfus, Gerard [1 ]
机构
[1] ESPCI ParisTech, SIGMA Lab, F-75005 Paris, France
[2] Univ Paris 06, IFD, F-75005 Paris, France
来源
2014 IEEE FAIBLE TENSION FAIBLE CONSOMMATION (FTFC) | 2014年
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中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we address the problem of detecting steady-state visual evoked potentials (SSVEPs) in EEG signals by using a set of simulated trains of VEPs instead of the sine-waves basis typically used in Fourier Transform. The detection algorithm is calibrated using the subject's brain response to visual stimulation. The original contribution of the paper is that our detection method automatically takes into account all the spectral content adapted to the steady-state response in terms of harmonic localization, weights, and phase. We show that this method give better results than simple frequency analysis for SSVEP detection while requiring less features, thereby reducing the risk of overfitting the detection model.
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页数:4
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