The invention provides an
analysis method for electroencephalogram signals of children with
autism spectrum disorder. The method comprises the following steps: step 1, collecting resting-state electroencephalogram signals by using a multi-lead electroencephalogram
system; step 2, preprocessing obtained image data; step 3, calculating source activity of intracranial
cerebral cortex based on electroencephalogram signals recorded by
scalp electrodes by adopting an accurate low-resolution electroencephalogram
tomography technology so as to obtain
current density time sequences of 84 ROI regions; step 4, performing spatial-temporal feature analysis on the
current density time sequences of each subject, each
frequency band and each ROI to obtain spatial-temporal characteristic parameters beta; and step 5, detecting whether the spatial-temporal characteristic parameters beta of tested children with
autism spectrum disorder and tested normal children have significant inter-group difference ornot. According to the
analysis method for the electroencephalogram signals of the children with the
autism spectrum disorder, electroencephalogram spatial-temporal characteristic parameters which facilitate the diagnosis of the children with the
autism spectrum disorder can be obtained, and medical workers are assisted in completing
preliminary diagnosis of the children with the
autism spectrum disorder.