Ensemble Approach for Detection of Depression Using EEG Features

Ensemble Approach for Detection of Depression Using EEG Features

Depression is a public health issue that severely affects one’s well being and can cause negative social and economic effects to society. To raise awareness of these problems, this research aims at determining whether the long-lasting effects of depression can be determined from electroencephalograp...

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Bibliographic Details
Main Authors: Egils Avots, Klāvs Jermakovs, Maie Bachmann, Laura Päeske, Cagri Ozcinar, Gholamreza Anbarjafari
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Entropy
Subjects:
depression
electroencephalogram (EEG)
feature extraction and selection
machine learning
ensemble learning
Online Access:https://www.mdpi.com/1099-4300/24/2/211

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