Publications

 Journal Publications

  1. Ghorbanian, P., Ramakrishnan, A.M., and Ashrafiuon, H., 2015, “Stochastic Nonlinear Oscillator Models of EEG: The Alzheimer's Disease Case,” Frontiers in Computational Neuroscience, DOI 10.3389/fncom.2015.00048, 9(48)1-14.
  2. Ghorbanian, P., Devilbiss, A., Hess, T., Bernstein, A., Simon, A. J., and Ashrafiuon, H., 2015, “Exploration of EEG Features of Alzheimer’s Disease using Continuous Wavelet Transform,” Medical & Biological Engineering & Computing, DOI 10.1007/s11517-015-1298-3.
  3. Ghorbanian, P., Ramakrishnan, S., Whitman, A.M., and Ashrafiuon, H., 2015, “A Phenomenological Model of EEG Based on the Dynamics of a Stochastic Duffing-van der Pol Oscillator Network,” Biomedical Signal Processing and Control, 15:1-10.
  4. Ghorbanian, P., Devilbiss, D. M., Verma, A., Hess, T., Bernstein, A., Simon, A. J., and Ashrafiuon, H., 2013, “Identification of Resting and Active State EEG Features of Alzheimer’s Disease using Discrete Wavelet Transform,” Annals of Biomedical Engineering, 41(6): 1243-1257.

 

Conference Proceedings

  1. Ghorbanian, P., Ramakrishnan, S., and Ashrafiuon, H., “Stochastic Oscillator Model of EEG Based on Information Content and Complexity,” ASME Dynamic Systems and Control Conference, Oct. 22-24, 2014, San Antonio, TX, paper 5929.
  2. Ghorbanian, P., Ramakrishnan, S., Whitman, A.M., and Ashrafiuon, H., “Nonlinear Dynamic Analysis of EEG Using A Stochastic Duffing-Van Der Pol Oscillator Model,” ASME Dynamic Systems and Control Conference, Oct. 22-24, 2014, San Antonio, TX, paper 5854.
  3. Ghorbanian, P., Ramakrishnan, S., and Ashrafiuon, H., “Stochastic Coupled Oscillator Model of EEG for Alzheimer’s Disease,” 36th IEEE Engineering in Medicine and Biology Conference, Aug 26 – 30, 2014, Chicago, IL, pp. 706-709.
  4. Simon, A. J., Tatswakawa, K., Gelder J. V., Ashrafiuon, P., and Devilbiss, D., 2014, “A Portable Non-Invasive Multi-Modal Approach to Actively Assess Sports Concussion and Mild Traumatic Brain Injury,” Archives of Clinical Neuropsychology, 29(6), 595-596.
  5. Bernstein, A., Hess, T. Ghorbanian, P., Ashrafiuon, H., Devilbiss, D., and Simon, A.J., 2014, “A Portable Non-Invasive Biosensor Based Approach to Actively Assess Cognitive Function in Alzheimer's disease (AD) and Beyond,” Neurology, 82(10), Supplement, P4.197.
  6. Simon, A. J., Gelder J. V., Ashrafiuon, P., and Devilbiss, D., 2014, “A Portable Non-Invasive Biosensor Based Approach to Actively Assess Sports Concussion and Mild Traumatic Brain Injury,” Neurology, 82(10), Supplement, P5.299.
  7. Simon, A. J., Ashrafiuon, H., Ghorbanian, P., and Devilbiss, D., 2013, “A Noninvasive Device-Based Approach to Aid in the Diagnosis of mTBI and Alzheimer’s Disease: Preliminary Findings from Clinical Pilot Studies,” Alzheimer's & Dementia: The Journal of the Alzheimer's Association, 9(4), Supplement, 222.
  8. Ghorbanian, P., Ramakrishnan, S., Simon, A. J., and Ashrafiuon, H., “Stochastic Dynamic Modeling of the Human Brain EEG Signal,” ASME Dynamic Systems and Control Conference, Oct. 21-23, 2013, Palo Alto, CA, paper 3881.
  9. Ghorbanian, P., Hess, T., Bernstein, A., Devilbiss, D. M., Simon, A. J., and Ashrafiuon, H., “On the EEG Features of Alzheimer's Disease and the Importance of Activated Brain States,” Biomedical Engineering Society Annual Meeting, Oct 24 – 27, 2012, Atlanta, GA.
  10. Ghorbanian, P., Hess, T., Bernstein, A., Devilbiss, D. M., Simon, A. J., and Ashrafiuon, H., “Continuous Wavelet Transform EEG Features of Alzheimer’s Disease,” ASME Dynamic Systems and Control Conference, Oct. 17-19, 2012, Ft. Lauderdale, FL, pp. 1532-1537.
  11. Ghorbanian, P., Hess, T., Bernstein, A., Devilbiss, D. M., Simon, A. J., and Ashrafiuon, H., “Discrete Wavelet Transform EEG Features of Alzheimer’s Disease in Activated States,” 34th IEEE Engineering in Medicine and Biology Conference, Aug 28 – Sep 1, 2012, San Diego, CA, pp. 2937-2940.
  12. Ghorbanian, P., A., Devilbiss, D. M., Simon, A. J., and Ashrafiuon, H., “Power Based Analysis of Single-Electrode Human EEG Recordings Using Continuous Wavelet Transform,” 38th Annual Northeast Bioengineering Conference, March, 2012, Philadelphia, PA, pp. 279-280.
  13. Simon, A. J., Bernstein, A., Hess, T., Ashrafiuon, H., Devilbiss, D., and Verma, A., 2011, “A Brain Computer Interface to detect Alzheimer’s disease,” Alzheimer's & Dementia: The Journal of the Alzheimer's Association, 7(4), Supplement, 145 – 146.