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Depression is a kind of relatively common psychological disease of among people. The extract of EEG feature is to utilize the course of development of better aided diagnosis with depression patients, so as to put forward the accurate treatment options. The traditional machine study is to directly input EEG into Neural Networks and not to consider the influence of time series for data accuracy and Bi-LSTM is not only to inherit the treatment of LSTM to timely constraint, but also combine thedoi:10.1051/e3sconf/202018502007 fatcat:bvubws62krfq5lvo4vxlcg4fni