Method and device for identifying degree of EEG relaxation based on multi-spatial signal features
A technology of signal characteristics and relaxation degree, applied in the field of EEG relaxation degree recognition method and device, can solve the problems of increasing hardware requirements, complicated calculation and processing process, and complicated calculation, so as to improve the precision and accuracy, and achieve various evaluation methods. the effect of
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[0058] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0059] see figure 1 , an embodiment of the present invention provides a method for identifying EEG relaxation based on multi-spatial signal features, which may include the following steps:
[0060] S101. Extract signal waves corresponding to each brain wave from the received EEG sequence signal to be processed.
[0061] In the embodiment of the present invention, the various brain waves may include Delta waves, Theta waves, Alpha waves, Beta waves, and Gamma ...
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