A feature recognition method of motor imaginary EEG signal based on CBLSTM algorithm model
A technology of EEG signal and motor imagery, applied in character and pattern recognition, neural learning method, biological neural network model, etc., can solve the problem of long experiment time
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[0027] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.
[0028] The technical scheme that the present invention solves the problems of the technologies described above is:
[0029] A method for feature recognition of motor imagery EEG signals based on a convolutional bidirectional long-short-term memory algorithm model, comprising the following steps:
[0030] S1: First use the signal acquisition instrument to collect the original EEG signal;
[0031]S2: Perform preprocessing such as filtering and amplification on the collected EEG signals, and use MPCA to reduce the dimensionality of the multi-dimensional EEG signals to reduce the amount of calculation;
[0032] S3: Considering the complex spatiotemporal characteristics of EEG signals, an algorithm model that...
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