EEG Mental Stress Assessment Using Hybrid Multi-Domain Feature Sets of Functional Connectivity Network and Time-Frequency Features

EEG Mental Stress Assessment Using Hybrid Multi-Domain Feature Sets of Functional Connectivity Network and Time-Frequency Features

Exposure to mental stress for long period leads to serious accidents and health problems. To avoid negative consequences on health and safety, it is very important to detect mental stress at its early stages, i.e., when it is still limited to acute or episodic stress. In this study, we developed an...

Full description

Bibliographic Details
Main Authors: Ala Hag, Dini Handayani, Thulasyammal Pillai, Teddy Mantoro, Mun Hou Kit, Fares Al-Shargie
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
mental stress
electroencephalography
feature extraction
functional connectivity network
time-frequency features
machine learning
Online Access:https://www.mdpi.com/1424-8220/21/18/6300

Similar Items

Similar Items