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Detection and classification of sleep stages using an adaptive system based on rule based reasoning and neural networks / Amr Ahmed Elsaid Hassaan ; Supervised Mohamed Emad Rasmy , Ahmed Abdelaal Morsy , Shahira Fathy Loza

By: Contributor(s): Language: Eng Publication details: Cairo : Amr Ahmed Elsaid Hassaan , 2008Description: 105P. : charts , facsimiles ; 30cmOther title:
  • تشخيص وتصنيف مراحل النوم باستخدام نظام مكايف يعتمد على التحليل المنطقى المبنى على القواعد والشبكات العصبية [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty Of Engineering - Department Of Biomedical Engineering Summary: This thesis presents a new adaptive system for automated sleep staging the proposed system relies on each subjects̀ own data for self training results show that this hybrid approach provides an adaptive training scheme that performs more accurately compared to one of the popular commercially available systems
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.M.Sc.2008.Am.D (Browse shelf(Opens below)) Not for loan 01010110049463000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.M.Sc.2008.Am.D (Browse shelf(Opens below)) 49463.CD Not for loan 01020110049463000

Thesis (M.Sc.) - Cairo University - Faculty Of Engineering - Department Of Biomedical Engineering

This thesis presents a new adaptive system for automated sleep staging the proposed system relies on each subjects̀ own data for self training results show that this hybrid approach provides an adaptive training scheme that performs more accurately compared to one of the popular commercially available systems

Issued also as CD

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