Classification and recognition method for P300 event-related potential based on deep learning
An event-related potential and deep learning technology, which is applied in the field of classification and identification of P300 event-related potentials by using deep learning, can solve the problems of time consumption and achieve the effect of improving the accuracy rate
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[0024] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention and accompanying drawings are further described in detail below:
[0025] The overall block diagram of the P300 event-related potential classification and recognition method based on deep learning is shown in Figure 1. The method can be divided into three links: signal preprocessing, building classification network and character recognition. Among them, the signal preprocessing part is used to filter out some artifacts and noise interference from the detected EEG signal, and use data amplification technology to expand data samples. The function of constructing the classification network is to construct a network capable of predicting the probability of the input EEG signal containing P300 event-related potentials. The role of character recognition is to use the output of the network to recognize characters in combination wi...
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