Simplified distributed dipole model establishment and identification method based on D-K partition
A recognition method and model-building technology, applied in the field of motor imagery EEG signal recognition, can solve the problems of high cost of generating feature data, information redundancy, loss of key information, etc., to avoid feature redundancy and improve the effect of recognition.
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[0040]The present invention is specifically carried out under the MatlabR2014 simulation environment and the Tensorflow environment under the Windows 10 (64-bit) operating system.
[0041] The data set used in the present invention is BCI2000, which is collected by the international 10-10 standard 64-lead electrode cap, and the sampling frequency is 160 Hz. The dataset recorded MI-EEG signals from 109 subjects, each of whom performed four categories of motor imagery tasks: left fist, right fist, double fist, and double foot. The experiment lasted for a total of 5 s, which were 1 s in the resting state and 4 s in the motor imagery period. The present invention randomly selects 10 subjects for experimental analysis (S5, S6, . In the ablation experiment of this method, samples from 10 subjects will be analyzed as a whole. In addition, the method was tested on all 109 subjects to avoid random chance. All experiments were performed under the criterion of ten-fold cross-validatio...
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