LSDD-EEGNet: An efficient end-to-end framework for EEG-based depression detection

• Published in: Biomedical signal processing and control Vol. 75; p. 103612
• Main Authors: Song, XinWang, Yan, DanDan, Zhao, LuLu, Yang, LiCai
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.05.2022
• Subjects: CNN; depression; domain adaptation; EEG; LSDD-EEGNet; LSTM; CNN; LSDD-EEGNet; LSTM; depression; domain adaptation; EEG

[Display omitted] •First, we collected EEG signals from 40 depressed patients and 40 healthy controls and eliminated the noise through wavelet transformation.•Second, the EEG signals are divided into 5 frequencies and fed into mutiple models to evaluate the performance.•Third, we propose a model nam...