Applications of EEG indices for the quantification of human cognitive performance: A systematic review and bibliometric analysis

Lina Elsherif Ismail; Waldemar Karwowski

doi:10.1371/journal.pone.0242857

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Open Access

Peer-reviewed

Research Article

Applications of EEG indices for the quantification of human cognitive performance: A systematic review and bibliometric analysis

Lina Elsherif Ismail,

Roles Writing – original draft

Affiliation Department of Industrial Engineering and Management Systems, Computational Neuroergonomics Laboratory, University of Central Florida, Orlando, FL, United States of America

https://orcid.org/0000-0002-1551-4499

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Waldemar Karwowski

Roles Conceptualization, Supervision

* E-mail: wkar@ucf.edu

Affiliation Department of Industrial Engineering and Management Systems, Computational Neuroergonomics Laboratory, University of Central Florida, Orlando, FL, United States of America
⨯

Applications of EEG indices for the quantification of human cognitive performance: A systematic review and bibliometric analysis

Lina Elsherif Ismail,
Waldemar Karwowski

Published: December 4, 2020
https://doi.org/10.1371/journal.pone.0242857

About the Authors

Lina Elsherif Ismail

Roles Writing – original draft

Affiliation Department of Industrial Engineering and Management Systems, Computational Neuroergonomics Laboratory, University of Central Florida, Orlando, FL, United States of America

https://orcid.org/0000-0002-1551-4499

Waldemar Karwowski

Roles Conceptualization, Supervision

* E-mail: wkar@ucf.edu

Affiliation Department of Industrial Engineering and Management Systems, Computational Neuroergonomics Laboratory, University of Central Florida, Orlando, FL, United States of America

Competing Interests

No authors have competing interests.

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Electroencephalography
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Human performance
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Fatigue
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Vision
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Emotions
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Entropy
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Material fatigue
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Working memory
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