TSF-MDD: A Deep Learning Approach for Electroencephalography-Based Diagnosis of Major Depressive Disorder with Temporal–Spatial–Frequency Feature Fusion

TSF-MDD: A Deep Learning Approach for Electroencephalography-Based Diagnosis of Major Depressive Disorder with Temporal–Spatial–Frequency Feature Fusion

Major depressive disorder (MDD) is a prevalent mental illness characterized by persistent sadness, loss of interest in activities, and significant functional impairment. It poses severe risks to individuals’ physical and psychological well-being. The development of automated diagnostic systems for M...

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Bibliographic Details
Main Authors: Wei Gan, Ruochen Zhao, Yujie Ma, Xiaolin Ning
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Bioengineering
Subjects:
major depression disorder (MDD)
electroencephalography (EEG)
deep learning
temporal–spatial–frequency
Online Access:https://www.mdpi.com/2306-5354/12/2/95
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