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

المؤلفون المشاركون

Namazi, Hamidreza
Kulish, Vladimir V.
Akrami, Amin
Nazeri, Sina

المصدر

BioMed Research International

العدد

المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-5، 5ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2016-09-08

دولة النشر

مصر

عدد الصفحات

5

التخصصات الرئيسية

الطب البشري

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1098137