Method for positioning scalp electroencephalogram epilepsy region based on artificial intelligence

The invention relates to the field of artificial intelligence, in particular to a scalp electroencephalogram epilepsy region positioning method based on artificial intelligence. Comprising the steps that historical electroencephalogram waveform images are collected and compressed, and a sparse coding image of each historical waveform image is obtained; a neural network is used for training, and the LOSS function historical value of each sparse coding image is obtained; calculating a mean value of historical values of the LOSS function of the sparse coding image, and obtaining an oscillation sparse coding image; calculating the similarity between the oscillation sparse coding image and each sparse coding image, and obtaining an associated sparse coding image; and reconstructing an LOSS function of the neural network, and outputting a labeled image. According to the technical means provided by the invention, the LOSS function of the neural network is re-constructed, so that the recognition accuracy of the neura