A method and system for identifying EEG relaxation
A relaxation, EEG technology, applied in character and pattern recognition, pattern recognition in signals, medical science, etc., can solve the problems of unstable extraction effect, affecting the accuracy of EEG relaxation recognition, and achieve high signal stability. , to ensure the effect of accurate identification
Active Publication Date: 2019-07-16
GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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Problems solved by technology
[0005] Existing methods generally directly use a single filtering method to extract EEG, but the extraction effect of this extraction method is unstable, and it is easily affected by external factors and the performance or volatility of the filter itself, which in turn affects the final EEG. Recognition Accuracy of Relaxation
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[0052]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.
[0053] see figure 1 , an embodiment of the present invention provides a method for identifying EEG relaxation, which may include the following steps:
[0054] S101. According to the frequency range of each electroencephalogram, perform Kalman filtering on the received electroencephalogram sequence signal to be processed, and extract a first signal corresponding to each electroencephalogram.
[0055] In the embodiment of the present invention, generally, the EE...
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The invention discloses a method for identifying the relaxation degree of EEG, comprising: performing Kalman filtering on the EEG sequence signal to be processed to obtain the first signal of each EEG sequence; Signal extraction to obtain a second signal corresponding to each brain wave; based on the Kalman residual of the first signal, a first weighting factor corresponding to the first signal is obtained; based on the quality index of the second signal, a weight factor corresponding to the second signal is obtained the second weighting factor; according to the first signal, the first weighting factor, the second signal and the second weighting factor, calculate the third signal; perform feature extraction on the third signal of each brain wave, and classify and identify according to the feature quantity , to get the EEG relaxation degree. The invention also provides a system for identifying the degree of relaxation of brain electricity, which can accurately extract brain waves, thereby realizing accurate identification of relaxation degree of brain electricity.
Description
technical field [0001] The invention relates to the field of relaxation therapy, in particular to a method and system for identifying the relaxation degree of brain electricity. Background technique [0002] Relaxation training is one of the most widely used techniques in behavior therapy. It is a consultation and treatment method established and developed on the basis of psychological experiments. Good curative effects have been achieved in menopausal syndrome and changing bad behavior patterns. [0003] Existing relaxation training mainly includes recording guidance, oral guidance and biofeedback guidance. Among them, the recording instruction method is rigid and unchanged, and cannot change the content according to the state of the trainee; the oral instruction requires high requirements for the object of the oral instruction, and is limited by time and place; the biofeedback instruction is mainly based on EEG feedback, which can Combining the advantages of the first tw...
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IPC IPC(8): G06K9/00A61B5/0476
CPCA61B5/7225A61B5/7235A61B5/725A61B5/369G06F2218/04G06F2218/08G06F2218/12
Inventor 胡静赵巍韩志
Owner GUANGZHOU SHIYUAN ELECTRONICS CO LTD