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Classification of neuromuscular disorderes usig emg support vector discriminant analysis / Ahmed Mohamed Toam Ahmed Yousif ; Supervised Abdalla S. A. Mohamed

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ahmed Mohamed Toam Ahmed Yousif , 2013Description: 105 P. : charts , facsimiles ; 30cmOther title:
  • تصنيف الاضطرابات العصببة والعضلية بتحليل تمايز الدعم الموجه لتخطيط كهربية العضلات [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering Summary: Neuromuscular disorders affects the functional utility of muscles that can be assessed by electromyography recording . Wavelet transform and support vector discriminant analysis were introduced for EMG analysis and classification . The performance of support vector discrminant analysis associated with wavelet denoising succeeded to achieve (94%) accuracy of nearest neighbor classification
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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.2013.Ah.C (Browse shelf(Opens below)) Not for loan 01010110061500000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.M.Sc.2013.Ah.C (Browse shelf(Opens below)) 61500.CD Not for loan 01020110061500000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering

Neuromuscular disorders affects the functional utility of muscles that can be assessed by electromyography recording . Wavelet transform and support vector discriminant analysis were introduced for EMG analysis and classification . The performance of support vector discrminant analysis associated with wavelet denoising succeeded to achieve (94%) accuracy of nearest neighbor classification

Issued also as CD

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