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.