EEG-Based Multi-Level Mental State Classification Using Partial Directed Coherence and Graph Convolutional Networks: Impact of Binaural Beats on Stress Mitigation

EEG-Based Multi-Level Mental State Classification Using Partial Directed Coherence and Graph Convolutional Networks: Impact of Binaural Beats on Stress Mitigation

This study addresses limitations in EEG-based stress detection research by developing a novel approach to differentiate multiple mental states in different stress baseline population samples. Utilizing EEG signals, graph convolutional neural networks (GCNs), and binaural beats stimulation (BBs), the...

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Bibliographic Details
Main Author: Badr, Yara (author)
Other Authors: Yahya, Fares (author), Khan, Malik Nasir Afzal (author), Ali, Nour Faris (author), Tariq, Usman (author), Almughairbi, Fadwa (author), Babiloni, Fabio (author), Al-Nashash, Hasan (author)
Format: article
Published: 2025
Subjects:
Mental stress
EEG
Deep learning
GCN
PDC
Binaural beats stimulation
Online Access:https://hdl.handle.net/11073/26084
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https://hdl.handle.net/11073/26084

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