Consider Of Chaos and nonlinear Features in EEG and ERP For Mild Alzheimer's Disease

Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
View: 1,030

This Paper With 8 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

ELECTRICA02_066

تاریخ نمایه سازی: 12 تیر 1395

Abstract:

The initial aim and motivation of this research is planning and providing a system for Diagnosis and identification of Alzheimer patients on light step from the old health individuals.Considering the specifications of EEG 1 and the way of this sickness with different specifications in brain signal، this sickness may be diagnosed within the primary step through an adequate process. First of all، the brain signal has been registered in four state of: closed eye، opened eye، booster and irritation from three Pz،Cz،Fz channels.Seeing the registered protocol، on the booster period، during 1 minute to the signal registration while the patient remembers the images and during the irritation state and considering the audible sample، the responding manner of subject to the voice of aim are investigated: then، other processes within the frame of time and frequency such as indicating statistical specifications correlation، spectral analysis and deduction of different non linear specifications such as lyapunov exponent ، correlation dimension)D2) and anthropy are done by considering the nonlinear and turbulent nature of the brain signals. D2 was significantly lower in the Alzheimer patients compared to controls. The difference between original and surrogate data was significant in both groups, implicating that non-linear dynamics play a role in the D2 value. Then، by using the Genetic Algorithm the optimum specifications were drawn out by using the three claaaifier LDA2 ,SVM 3 and Elman. According to the drawn out results، it became clear that among the three channels Pz،Cz،Fz and four states of closed eye، opened eye، booster and irritation، the exactitude Pz channel and the state of irritation are more in comparison with the channels and other states. The accuracy of channel Pz result during remembering and irritation period with the selected specifications of the Genetic Algorithm through linear selector are respectively 65/3% and 68/4% , in Support vector machine method are respectively 72/3% and 76/14% and in nervous system the exactitude is respectively 94/3% and 96/2%.

Authors

Ghazale Safari beydokhti

Biomedical Engineering student,international university of imamreza

Elias Mazrooei Rad

Computer and Sience Department,Khavaran Institute of Higher Education

Abdollah Rajabzadeh cherry

Biomedical Engineering student,international university of imamreza

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • and Early Diagnosis of Alzheimer Disease: A Look to the ...
  • B.T. Francesco Roselli, Francesco Federico, Vito Lepore, Giovanni Defazio*, Paolo ...
  • _ Tom Meuser, Elinical _ Scale, " _ Center _ ...
  • J.A.C. Saeid Sanei, _ Signal Prosessing, " centre of digital ...
  • C. Cortes, _ Vapnik, Supp ort-Vector Networks", Machine Learming, Vol. ...
  • F.Z. Brill, D.E. Brown, W.N. Martin, Sast genetic selection of ...
  • S.Y.C. E .H , Park, J. W. Kim, W. W.Whang, ...
  • نمایش کامل مراجع