Electroencephalogram relaxation degree identification method and device based on time domain and phase space

Abstract

The invention discloses an electroencephalogram relaxation degree identification method based on the time domain and the phase space. The method comprises the steps that an original electroencephalogram signal is cut into slices, the to-be-processed sequence signals of electroencephalogram are generated; signal waves are extracted from the to-be-processed sequence signals of the electroencephalogram; energy parameters of the signal wave are calculated, based on the maximum value of the energy parameters and the rate of change ratios of the equipotential energy parameters of the brainwave, the characteristic quantity in the time domain space for the to-be-processed sequence signals of the electroencephalogram is obtained; according to the signal wave and the to-be-processed sequence signals of the electroencephalogram, a two-dimensional chart containing signals is formed, and the signal coverage density on the two-dimensional chart is statistically measured, the phase-space characteristic quantity of the sequence signals of the electroencephalogram is obtained; classifications and identifications are carried out according to the characteristic quantity in the time domain and the characteristic quantity in the phase space, and the relaxation degree of the electroencephalogram is obtained. The invention also provides an electroencephalogram relaxation identification device based on the time domain and the phase space, the characteristics at different angles of each brain wave can be fully extracted, so that the accurate identification of the relaxation degree of the electroencephalogram is achieved.

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 time domain and phase space. 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 the existing feature extraction algorithm is complicated. On the one hand, it increases the requirements for hardware. On the other hand, due to the complicated calculation, the classification result cannot be obtained in time, which affects the effect of relaxation therapy.

Images