000			01685cam a2200337 a 4500
003			EG-GiCUC
005			20250223031413.0
008			160118s2015 ua d f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.13.03.M.Sc.2015.Kh.N
100	0		_aKhaled Sayed Ahmed Sayed
245	1	0	_aNonlinear dynamical modeling features for brain-computer interface / _cKhaled Sayed Ahmed Sayed ; Supervised Yasser M. Kadah , Ayman M. Eldeib
246	1	5	_aخصائص نمذجة ديناميكية غير خطية للتواصل بين المخ والحاسوب
260			_aCairo : _bKhaled Sayed Ahmed Sayed , _c2015
300			_a71 P. : _bcharts ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering
520			_aThis 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
530			_aIssued also as CD
653		4	_aBrain-Computer Interface
653		4	_aNonlinear Dynamical Modeling
653		4	_aPhase Space
700	0		_aAyman Mohamed Eldeib , _eSupervisor
700	0		_aYasser Moustafa Kadah , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aAml _eCataloger
905			_aNazla _eRevisor
942			_2ddc _cTH
999			_c54599 _d54599