Electroencephalogram relaxing degree identifying method and device based on multi-space signal characteristics

Abstract

The invention discloses an electroencephalogram relaxing degree identifying method and an electroencephalogram relaxing degree identifying device based on multi-space signal characteristics. The electroencephalogram relaxing degree identifying method comprises the following steps: extracting signal waves from electroencephalogram sequence signals to be processed; acquiring the sampling point number of the signal waves and the points with the amplitudes being smaller than the amplitude threshold value in each second and with the maximal amplitude absolute values, calculating the average value of the amplitudes, calculating the probability density of the amplitude according to the sampling point number and the average value of the amplitudes, thus obtaining the characteristic quantity in the time domain space; calculating the phase space distribution density of the signal waves, thus obtaining the characteristic quantity in the phase space; calculating the energy of the signal waves, calculating the center frequency of each signal wave according to the energy and the frequency range of each brain wave, thus obtaining the characteristic quantity in the frequency domain space; and carrying out classified identification according to the characteristic quantity in the time domain space, the characteristic quantity in the phase space and the characteristic quantity in the frequency domain space, thus obtaining the electroencephalogram relaxing degree. With the method and the device, the characteristics in different spaces of the each brain wave can be comprehensively extracted, and thus the accurate identification for the electroencephalogram relaxing degree can be realized.

Description

technical field [0001] The invention relates to the field of relaxation therapy, in particular to a method and device for identifying the degree of relaxation of brain electricity based on multi-spatial signal features. 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...

AI Technical Summary

Problems solved by technology

[0005] The existing feature extraction methods generally can only extract the features of brain waves from a single angle, and the evaluation method is single, which cannot guarantee the accuracy of the classification results

Moreover, the calculation and processing process of

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