Combination of continuous and discrete wavelet coefficients in single-trial P300 detection

single trail detection of P300 from EEG signals is the main challenge of ERP-based BCI systems. In this article, combination of CWT and DWT in feature extraction achieved up to 98% of accuracy in single trial P300 detection. Two steps of feature extraction once by using DWT and second by CWT prepare effective P300 component features. Three major features of DWT and T-CWT transform have been selected. Multi-dimensional SVM classifier has been used for classifying target and non-target EEG signals.