Khaled Sayed Ahmed Sayed <br/><br/>
Nonlinear dynamical modeling features for brain-computer interface /  
 خصائص نمذجة ديناميكية غير خطية للتواصل بين المخ والحاسوب  
Khaled Sayed Ahmed Sayed ; Supervised Yasser M. Kadah , Ayman M. Eldeib 
 - Cairo :   Khaled Sayed Ahmed Sayed ,   2015 
 - 71 P. :   charts ;   30cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering   
<br/><br/> This thesis aimed at introducing new features that characterize the shape of  the shape of the RPS of the EEG signals to enhance the performance of the BCI systems. We used the first minimum of mutual information and Cao`s algorthm to determine the optimal delay-time (t) and the optimal embedding dimension (m) respectively. The calculated t and m were used to reconstruct the phase space of the underling dynamical system 
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<br/><br/><label>Subjects--Index Terms: </label>Brain-Computer Interface Nonlinear Dynamical Modeling  Phase Space