EEG-Based Semantic Vigilance Level Classification Using Directed Connectivity Patterns and Graph Theory Analysis

EEG-Based Semantic Vigilance Level Classification Using Directed Connectivity Patterns and Graph Theory Analysis

This paper proposes two novel methods to classify semantic vigilance levels by utilizing EEG directed connectivity patterns with their corresponding graphical network measures. We estimate the directed connectivity using relative wavelet transform entropy (RWTE) and partial directed coherence (PDC)...

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Bibliographic Details
Main Author: Yahya, Fares (author)
Other Authors: Hassanin, Omnia (author), Tariq, Usman (author), Al-Nashash, Hasan (author)
Format: article
Published: 2020
Subjects:
Vigilance decrement
Electroencephalogram
Relative wavelet transform entropy
Partial directed coherence
Graph theory analysis
Machine Learning
Online Access:http://hdl.handle.net/11073/21414
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http://hdl.handle.net/11073/21414

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