The invention provides a depression
risk screening system and method based on a
virtual reality scene electroencephalogram
signal. Under the stimulation of a
virtual reality scene, real-time acquisition,
processing and analysis of data are carried out on the electroencephalogram
signal by an electroencephalogram acquisition
system, and finally, a depression risk is screened by a
data mining method. The
system provided by the invention comprises a
virtual reality induction system, a electroencephalogram
signal acquisition system and a
data analysis system; the virtual reality
induction system is used for establishing different virtual reality scenes; the electroencephalogram
signal acquisition system is used for acquiring the electroencephalogram signal of a
human brain, which is generated under the stimulation of the virtual reality scene and is continuously changed, and outputting the processed electroencephalogram signal and extracted real-time feature information; the
data analysis system has a classification discrimination model trained by labeled healthy populations and depression risk populations, compares feature information required in a depression screening process with feature parameters of the classification discrimination model, and distinguishes and discriminates the healthy populations and the depression risk populations.