| 000 | 01835cam a2200337 a 4500 | ||
|---|---|---|---|
| 003 | EG-GiCUC | ||
| 005 | 20250223030935.0 | ||
| 008 | 140218s2013 ua dh 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.2013.Am.A | ||
| 100 | 0 | _aAmr Fawzy Farag | |
| 245 | 1 | 0 |
_aAutomated sleep scoring system using detrended fluctuation analysis / _cAmr Fawzy Farag ; Supervised Ahmed A. Morsy , Shereen M. Elmetwally |
| 246 | 1 | 5 | _aاستخدام الحاسب الالى لقياس درجة عمق النوم عن طريق تحليل رسم المخ بمعامل الدالة الأسية |
| 260 |
_aCairo : _bAmr Fawzy Farag , _c2013 |
||
| 300 |
_a62P. : _bcharts , facsimiles ; _c30cm |
||
| 502 | _aThesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering | ||
| 520 | _aSleep disorders are usually diagnosed based on clinical sleep assessment techniques . Various attempts were made to automate sleep assessment in the motivation of eliminating manual sleep assessment drawbacks and exploring new quantitative sleep measures . The purpose of this study is to combine detrended fluctuation analysis features and spectral features of single electroencephalograph (EEG) channel to build a hybrid automated sleep staging system based on decision tree and multi- layer perceptron prediction engine models | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aDecision tree | |
| 653 | 4 | _aDetrended fluctuation analysis | |
| 653 | 4 | _aSleep scoring | |
| 700 | 0 |
_aAhmed Abdelaal Morsy , _eSupervisor |
|
| 700 | 0 |
_aShereen Mahmoud Elmetwally , _eSupervisor |
|
| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aNazla _eRevisor |
||
| 905 |
_aSoheir _eCataloger |
||
| 942 |
_2ddc _cTH |
||
| 999 |
_c45148 _d45148 |
||