A novel EEG-based major depressive disorder detection framework with two-stage feature selection

A novel EEG-based major depressive disorder detection framework with two-stage feature selection

Abstract Background Major depressive disorder (MDD) is a common mental illness, characterized by persistent depression, sadness, despair, etc., troubling people’s daily life and work seriously. Methods In this work, we present a novel automatic MDD detection framework based on EEG signals. First of...

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Bibliographic Details
Main Authors: Yujie Li, Yingshan Shen, Xiaomao Fan, Xingxian Huang, Haibo Yu, Gansen Zhao, Wenjun Ma
Format: Article
Language:English
Published: BMC 2022-08-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Depression detection
Two-stage feature selection
EEG
Online Access:https://doi.org/10.1186/s12911-022-01956-w

Internet

https://doi.org/10.1186/s12911-022-01956-w

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