Automated Diagnosis of Schizophrenia based on EEG and Spatial–temporal Residual Graph Convolutional Network
Xinyi Xu,
Geng Zhu,
Bin Li
et al.
Abstract:Schizophrenia (SZ), a psychiatric disorder for which there is no precise diagnosis, has had a serious impact on the quality of human life and social activities for many years. Therefore, an advanced approach for accurate treatment is required. In this study, we provide a classification approach for SZ patients based on a spatial-temporal residual graph convolutional neural network (STRGCN). The model primarily collects spatial frequency features and temporal frequency features by spatial graph convolution and … Show more
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