The invention discloses an
andrology reproductive
data analysis system based on
artificial intelligence and electroencephalogram signals and an implementation method. The method is mainly characterized by comprising the steps that an electroencephalogram
signal acquisition subsystem is used for acquiring
reproduction related data of an
andrology testee user, electroencephalogram signals are transmitted to an analysis subsystem, the analysis subsystem processes and arranges the data for training a
deep learning model, and after training is finished, the analysis subsystem sends the data to a
server; and the
processing module is used for reasoning and judging newly transmitted electroencephalogram
signal data related to male
reproduction, returning an obtained result to a user side in a structured data and interactive interface manner,
processing an output result by using a text language
large model according to an actual scene, and controlling
terminal equipment and directly reading by a user. The electroencephalogram signals analyzed by
artificial intelligence are applied to the field of
andrology, can be applied to and not limited to the functions of judging the stage of the reproductive activity of the user, diagnosing and analyzing reproductive related diseases and the like, and are beneficial to and not limited to the fields of diagnosis of andrology diseases, improvement of andrology diseases, improvement of
life quality of the user and the like.