Discrimination of Wakefulness From Sleep Stage I Using Nonlinear Features of a Single Frontal EEG Channel-Reference-Cited by-同舟云学术

Discrimination of Wakefulness From Sleep Stage I Using Nonlinear Features of a Single Frontal EEG Channel

Published:2022-04-01 Issue:7 Volume:22 Page:6975-6984
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Shahbakhti Mohammad¹^ORCID,Beiramvand Matin²,Eigirdas Tomas³,Sole-Casals Jordi⁴^ORCID,Wierzchon Michal⁵^ORCID,Broniec-Wojcik Anna⁶,Augustyniak Piotr⁶^ORCID,Marozas Vaidotas¹^ORCID

Affiliation:

1. Biomedical Engineering Institute, Kaunas University of Technology, Kaunas, Lithuania

2. Department of Biomedical Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran

3. Faculty of Electrical and Electronics Engineering, Kaunas University of Technology, Kaunas, Lithuania

4. Data and Signal Processing Research Group, University of Vic—Central University of Catalonia, Vic, Spain

5. Institute of Psychology, Jagiellonian University, Kraków, Poland

6. Department of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology, Kraków, Poland

Funder

European Cooperation in Science and Technology (COST) Action

COST

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9745626/09722851.pdf?arnumber=9722851

Reference53 articles.

1. Global and local complexity of intracranial EEG decreases during NREM sleep

2. Identification of the General Anesthesia Induced Loss of Consciousness by Cross Fuzzy Entropy-Based Brain Network

3. Constructing a Consciousness Meter Based on the Combination of Non-Linear Measurements and Genetic Algorithm-Based Support Vector Machine

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