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Analysis of the Influence of Complexity and Entropy of Odorant on Fractal Dynamics and Entropy of EEG Signal
Joint Authors
Namazi, Hamidreza
Kulish, Vladimir V.
Akrami, Amin
Nazeri, Sina
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-08
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
An important challenge in brain research is to make out the relation between the features of olfactory stimuli and the electroencephalogram (EEG) signal.
Yet, no one has discovered any relation between the structures of olfactory stimuli and the EEG signal.
This study investigates the relation between the structures of EEG signal and the olfactory stimulus (odorant).
We show that the complexity of the EEG signal is coupled with the molecular complexity of the odorant, where more structurally complex odorant causes less fractal EEG signal.
Also, odorant having higher entropy causes the EEG signal to have lower approximate entropy.
The method discussed here can be applied and investigated in case of patients with brain diseases as the rehabilitation purpose.
American Psychological Association (APA)
Namazi, Hamidreza& Akrami, Amin& Nazeri, Sina& Kulish, Vladimir V.. 2016. Analysis of the Influence of Complexity and Entropy of Odorant on Fractal Dynamics and Entropy of EEG Signal. BioMed Research International،Vol. 2016, no. 2016, pp.1-5.
https://search.emarefa.net/detail/BIM-1098137
Modern Language Association (MLA)
Namazi, Hamidreza…[et al.]. Analysis of the Influence of Complexity and Entropy of Odorant on Fractal Dynamics and Entropy of EEG Signal. BioMed Research International No. 2016 (2016), pp.1-5.
https://search.emarefa.net/detail/BIM-1098137
American Medical Association (AMA)
Namazi, Hamidreza& Akrami, Amin& Nazeri, Sina& Kulish, Vladimir V.. Analysis of the Influence of Complexity and Entropy of Odorant on Fractal Dynamics and Entropy of EEG Signal. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-5.
https://search.emarefa.net/detail/BIM-1098137
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1098137