This paper proposed a combinational method to estimate and discriminate the P300 component. The Kalman filter and the wavelet transformation were used to estimate the P300 component and PCA and three discrimination methods; linear discrimination analysis, Mahalanobis distance, and Bayes' theorem, were used to discriminate the estimated P300 from single trial. The results show the effectiveness of the combinational technique in discrimination. The combination of wavelet transformation and a linear discrimination analysis can perform discrimination in the highest accuracy and the fastest processing speed.
['Hiroyuki Ishita', 'Motoki Sakai', 'Ji?nei Watanabe', 'Wenxi Chen', 'Daming Wei']
Development of P300 Detection Algorithm for Brain Computer Interface in Single Trial