Machine-Learning-Based Depression Detection Model from Electroencephalograph (EEG) Data Obtained by Consumer-Grade EEG Device

Machine-Learning-Based Depression Detection Model from Electroencephalograph (EEG) Data Obtained by Consumer-Grade EEG Device

<b>Background/Objectives:</b> There have been attempts to detect depression using medical-grade electroencephalograph (EEG) data based on a machine learning approach. EEG has garnered interest as a method for assessing brainwaves by attaching electrodes to the scalp to obtain electrical...

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Bibliographic Details
Main Authors: Kei Suzuki, Tipporn Laohakangvalvit, Midori Sugaya
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Brain Sciences
Subjects:
electroencephalography
depression
machine learning
Online Access:https://www.mdpi.com/2076-3425/14/11/1107
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