TFAGL: A Novel Agent Graph Learning Method Using Time-Frequency EEG for Major Depressive Disorder Detection

Information Science, Computer Science, Artificial Intelligence, Medicine, Psychiatry, Neurology,
Major Depressive Disorder Detection   Time-Frequency EEG   Agent Graph Learning   Graph Convolution   Brain Functional Connectivity  

A Novel Method for Depression Detection Based on Time-Frequency EEG: TFAGL Academic Background Major Depressive Disorder (MDD) is a common mental illness worldwide, characterized by symptoms such as sadness, guilt, and low self-esteem, accompanied by loss of interest, diminished enthusiasm for life, and disruptions in sleep or appetite. According t...