Detecting Depression Using Single-Channel EEG and Graph Methods

Detecting Depression Using Single-Channel EEG and Graph Methods

Objective: This paper applies graph methods to distinguish major depression disorder (MDD) and healthy (H) subjects using the graph features of single-channel electroencephalogram (EEG) signals. Methods: Four network features—graph entropy, mean degree, degree two, and degree three—were extracted fr...

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Bibliographic Details
Main Authors: Guohun Zhu, Tong Qiu, Yi Ding, Shang Gao, Nan Zhao, Feng Liu, Xujuan Zhou, Raj Gururajan
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Mathematics
Subjects:
mental health
classification
isolate nodes
graph entropy
mean degree
Online Access:https://www.mdpi.com/2227-7390/10/22/4177

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https://www.mdpi.com/2227-7390/10/22/4177

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