Depressive Disorder Recognition Based on Frontal EEG Signals and Deep Learning

Depressive Disorder Recognition Based on Frontal EEG Signals and Deep Learning

Depressive disorder (DD) has become one of the most common mental diseases, seriously endangering both the affected person’s psychological and physical health. Nowadays, a DD diagnosis mainly relies on the experience of clinical psychiatrists and subjective scales, lacking objective, accurate, pract...

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Bibliographic Details
Main Authors: Yanting Xu, Hongyang Zhong, Shangyan Ying, Wei Liu, Guibin Chen, Xiaodong Luo, Gang Li
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Sensors
Subjects:
depressive disorder (DD)
electroencephalogram (EEG)
beta rhythm
convolutional neural network (CNN)
long short-term memory (LSTM)
deep learning
Online Access:https://www.mdpi.com/1424-8220/23/20/8639

Internet

https://www.mdpi.com/1424-8220/23/20/8639

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