A comprehensive exploration of machine learning techniques for EEG-based anxiety detection

A comprehensive exploration of machine learning techniques for EEG-based anxiety detection

The performance of electroencephalogram (EEG)-based systems depends on the proper choice of feature extraction and machine learning algorithms. This study highlights the significance of selecting appropriate feature extraction and machine learning algorithms for EEG-based anxiety detection. We explo...

Full description

Bibliographic Details
Main Authors: Mashael Aldayel, Abeer Al-Nafjan
Format: Article
Language:English
Published: PeerJ Inc. 2024-01-01
Series:PeerJ Computer Science
Subjects:
Anxiety detection
Ensemble learning
Artificial intelligence
Electroencephalogram
Machine learning
Feature extraction
Online Access:https://peerj.com/articles/cs-1829.pdf

Internet

https://peerj.com/articles/cs-1829.pdf

Similar Items