Analysis of the Influence of Complexity and Entropy of Odorant on Fractal Dynamics and Entropy of EEG Signal

Namazi, Hamidreza Reza and Akrami, Amin and Nazeri, Sina and Kulish, Vladimir Vladimir (2016) Analysis of the Influence of Complexity and Entropy of Odorant on Fractal Dynamics and Entropy of EEG Signal. BioMed Research International, 2016. ISSN 23146133

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: brain diseases, Fractal Dynamics, Entropy of EEG Signal, olfactory stimulus (odorant), research, Universiti Malaysia Sarawak, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education
Subjects: Q Science > QM Human anatomy
Divisions: Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development
Depositing User: Ibrahim
Date Deposited: 31 Oct 2016 06:57
Last Modified: 22 Feb 2017 01:09
URI: http://ir.unimas.my/id/eprint/14089

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