Synopsis
Classification of neuromuscular disorders using the intramuscular Electromyograph signals was obtained by improve the quality of the signal before feature extraction, and optimize the feature space to provide better discrimination ability. The signal quality evaluation was considered based on determining the best wavelet function for Electromyograph identification and denoising. Optimizing the feature space was performed based on the supervised feature projection method, the Support Vector Discriminant Aanalysis.
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EMG Signal Classification Using Support Vector Discriminant Analysis
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Classification of neuromuscular disorders using the intramuscular Electromyograph signals was obtained by improve the quality of the signal before feature extraction, and optimize the feature space to provide better discrimination ability. The signal quality evaluation was considered based on determining the best wavelet function for Electromyograph identification and denoising. Optimizing the feature space was performed based on the supervised feature projection method, the Support Vector Discriminant Aanalysis. 136 pp. Englisch. Seller Inventory # 9783639765229
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Emg Signal Classification Using Support Vector Discriminant Analysis
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EMG Signal Classification Using Support Vector Discriminant Analysis
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yousif AhmedAhmed Yousif, Education:Master degree in Biomedical Engineering from Cairo University, 2013.Bachelor degree in Biomedical Engineering from Sudan university of science and technology, 2007.Classification of neuromuscul. Seller Inventory # 151401121
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Emg Signal Classification Using Support Vector Discriminant Analysis
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Emg Signal Classification Using Support Vector Discriminant Analysis
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EMG Signal Classification Using Support Vector Discriminant Analysis
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Taschenbuch. Condition: Neu. EMG Signal Classification Using Support Vector Discriminant Analysis | Ahmed Yousif | Taschenbuch | Paperback | 136 S. | Englisch | 2015 | SPS | EAN 9783639765229 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 104581846
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EMG Signal Classification Using Support Vector Discriminant Analysis
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Classification of neuromuscular disorders using the intramuscular Electromyograph signals was obtained by improve the quality of the signal before feature extraction, and optimize the feature space to provide better discrimination ability. The signal quality evaluation was considered based on determining the best wavelet function for Electromyograph identification and denoising. Optimizing the feature space was performed based on the supervised feature projection method, the Support Vector Discriminant Aanalysis.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch. Seller Inventory # 9783639765229
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EMG Signal Classification Using Support Vector Discriminant Analysis
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Classification of neuromuscular disorders using the intramuscular Electromyograph signals was obtained by improve the quality of the signal before feature extraction, and optimize the feature space to provide better discrimination ability. The signal quality evaluation was considered based on determining the best wavelet function for Electromyograph identification and denoising. Optimizing the feature space was performed based on the supervised feature projection method, the Support Vector Discriminant Aanalysis. Seller Inventory # 9783639765229
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EMG Signal Classification Using Support Vector Discriminant Analysis
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