Depression Assessment Method: An EEG Emotion Recognition Framework Based on Spatiotemporal Neural Network

Depression Assessment Method: An EEG Emotion Recognition Framework Based on Spatiotemporal Neural Network

The main characteristic of depression is emotional dysfunction, manifested by increased levels of negative emotions and decreased levels of positive emotions. Therefore, accurate emotion recognition is an effective way to assess depression. Among the various signals used for emotion recognition, ele...

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Bibliographic Details
Main Authors: Hongli Chang, Yuan Zong, Wenming Zheng, Chuangao Tang, Jie Zhu, Xuejun Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Psychiatry
Subjects:
depression
emotion recognition
electroencephalogram (EEG)
convolutional neural network (CNN)
long-short term memory network (LSTM)
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2021.837149/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyt.2021.837149/full

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