Stochastic coupled oscillator model of EEG for Alzheimer's disease

P. Ghorbanian, S. Ramakrishnan, H. Ashrafiuon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Coupled nonlinear oscillator models of EEG signals during resting eyes-closed and eyes-open conditions are presented based on Duffing-van der Pol oscillator dynamics. The frequency and information entropy contents of the output of the nonlinear model and the actual EEG signal is matched through an optimization algorithm. The framework is used to model and compare EEG signals recorded from Alzheimer's disease (AD) patients and age-matched healthy controls (CTL) subjects. The results show that 1) the generated model signal can capture the frequency and information entropy contents of the EEG signal with very similar power spectral distribution and non-periodic time history; 2) the EEG and the generated signal from the eyes-closed model are α band dominant for CTL subjects and θ band dominant for AD patients; and 3) statistically distinct models represent the EEG signals from AD patients and CTL subject during resting eyes-closed condition.

Original languageEnglish (US)
Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages706-709
Number of pages4
ISBN (Electronic)9781424479290
DOIs
StatePublished - Jan 1 2014
Event2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States
Duration: Aug 26 2014Aug 30 2014

Other

Other2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
CountryUnited States
CityChicago
Period8/26/148/30/14

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Electroencephalography
Alzheimer Disease
Nonlinear Dynamics
Entropy
Healthy Volunteers

Cite this

Ghorbanian, P., Ramakrishnan, S., & Ashrafiuon, H. (2014). Stochastic coupled oscillator model of EEG for Alzheimer's disease. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 (pp. 706-709). [6943688] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2014.6943688

Stochastic coupled oscillator model of EEG for Alzheimer's disease. / Ghorbanian, P.; Ramakrishnan, S.; Ashrafiuon, H.

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 706-709 6943688.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ghorbanian, P, Ramakrishnan, S & Ashrafiuon, H 2014, Stochastic coupled oscillator model of EEG for Alzheimer's disease. in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014., 6943688, Institute of Electrical and Electronics Engineers Inc., pp. 706-709, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Chicago, United States, 8/26/14. https://doi.org/10.1109/EMBC.2014.6943688
Ghorbanian P, Ramakrishnan S, Ashrafiuon H. Stochastic coupled oscillator model of EEG for Alzheimer's disease. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 706-709. 6943688 https://doi.org/10.1109/EMBC.2014.6943688
Ghorbanian, P. ; Ramakrishnan, S. ; Ashrafiuon, H. / Stochastic coupled oscillator model of EEG for Alzheimer's disease. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 706-709
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