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.