Journal of
Systemics, Cybernetics and Informatics
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ISSN: 1690-4524 (Online)


Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.

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Honorary Editorial Advisory Board's Chair
William Lesso (1931-2015)

Editor-in-Chief
Nagib C. Callaos


Sponsored by
The International Institute of
Informatics and Systemics

www.iiis.org
 

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Philosophy and Cybernetics: Questions and Issues
Thomas Marlowe, Fr. Joseph R. Laracy
(pages: 1-23)

Reconceiving Cybernetics in Light of Thomistic Realism
John T. Laracy, Fr. Joseph R. Laracy
(pages: 24-39)

Nascent Cybernetics, Humanism, and Some Scientistic Challenges
Zachary M. Mabee
(pages: 40-52)

Kant, Cybernetics, and Cybersecurity: Integration and Secure Computation
Jon K. Burmeister, Ziyuan Meng
(pages: 53-78)

Interplay Between Cybernetics and Philosophy as an Essential Condition for Learning
Maria Jakubik
(pages: 79-97)

Towards a General Theory of Change: A Cybernetic and Philosophical Understanding
Gianfranco Minati
(pages: 98-109)

Artificial Intelligence and Human Intellect
Víctor Velarde-Mayol
(pages: 110-127)

The Philosophy of Cybernetics
Jeremy Horne
(pages: 128-159)

Cybernetics and Philosophy in a Translation of Oedipus the King and Its Performance
Ekaterini Nikolarea
(pages: 160-190)

Linguistic Philosophy of Cyberspace
Rusudan Makhachashvili, Ivan Semenist
(pages: 191-207)

Systems Philosophy and Cybernetics
Nagib Callaos
(pages: 208-284)


 

Abstracts

 


ABSTRACT


On the Calculation of Entropy of EEG Transients

Carlos A. Ramírez-Fuentes, Blanca Tovar-Corona, V. Barrera-Figueroa, M. A. Silva-Ramírez, L. I. Garay-Jiménez


In order to characterize abnormal behaviours related to epileptic seizures and other neurological disorders, in this paper it is described a methodology and fundaments to find an optimum tolerance criterion r to estimate the entropy of abnormal transients with a duration of two seconds from electroencephalograms (EEG) recordings of patients diagnosed with partial epilepsy, attention deficit/hyperactivity disorder (ADHD), and conduct disorder (CD). The considered EEG signals come from patients with different ages diagnosed with these cerebral disorders in order to investigate the possibility of identifying each of them using approximate entropy (ApEn) and sampling entropy (SampEn) of the transients, which lead to the determination of an appropriate value for the parameter r. With the present approach it is possible to obtain an accurate identification of abnormal transients in EEG signals of short duration and reliable estimations of their entropies.

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