EEG Depression Recognition Based on Multi-domain Features Combined with CBAM Model

EEG Depression Recognition Based on Multi-domain Features Combined with CBAM Model

At present, the electroencephalogram (EEG) identification method for depression mainly uses a single feature extraction method, which cannot cover multi-domain feature information, resulting in poor classification performance of the existing model. Therefore, this paper proposes a depression recogni...

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Bibliographic Details
Main Authors: CHEN Yu, HU Xiuxiu, WANG Sheng
Format: Article
Language:zho
Published: Harbin University of Science and Technology Publications 2024-06-01
Series:Journal of Harbin University of Science and Technology
Subjects:
electroencephalogram (eeg)
depression
cnn
bilstm
attention mechanism
Online Access:https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2325
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