Study on the Method of Inducing Relaxation State Based on Mixed Stimulus
WU Nengbiao
ZHU Zhenmin
WANG Yi
Abstract：In this paper,through the visual,auditory,mixed stimulation,the experimenter is adjusted into a highly relaxed state. Under these three kinds of stimuli,EEG signals are collected. In order to classify the data after and before stimulation by SVM,random forest,GBDT,LSTM methods,classifiers are used to cut the data of the adjustment phase to find out the effective time of different stimulation methods. The experiment verifies that 1)sliding time window is used to extract the mean,variance,ex?treme value,fluctuation index on time domain and power entropy,gravity frequency on frequency domain,have achieved good re?sults. 2)The effect of time series model(LSTM)on EEG classification is much better,and the accuracy rate can reach 92%. 3)Ac?cording to effective stimulation time,can get mixed stimulation effect better than visual stimulation,and visual stimulation effect better than auditory secondary thorn. 4)Visual stimuli affects the Theta and Alpha bands of brain waves,and auditory stimuli af?fects the Delta bands of brain waves.
Keywords：EEGvisual stimulusauditory stimulusmixed stimulustime series modelvalid time
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 2381-2386,2391 )