Signal Classification: Comparison of Different Feature Extraction and Machine Learning Algorithms for EMG Signal Classification - Brossura
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In this study the EMG data that are collected from 25 subjects were analyzed. Two separate groups of myopathy and ALS patients and a control group are the participants of the research. Both females and males are included in the all groups. We preprocessed the EMG signals and used autoregressive method (AR) and discrete wavelet method (DWT) for feature extraction. Features are applied to various classification algorithms, namely Multilayer perceptron, C 4,5, CART, K-NN, Random forest tree.
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Signal Classification
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LAP LAMBERT Academic Publishing Dez 2019, 2019
ISBN 10: 6200498903
ISBN 13: 9786200498908
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this study the EMG data that are collected from 25 subjects were analyzed. Two separate groups of myopathy and ALS patients and a control group are the participants of the research. Both females and males are included in the all groups. We preprocessed the EMG signals and used autoregressive method (AR) and discrete wavelet method (DWT) for feature extraction. Features are applied to various classification algorithms, namely Multilayer perceptron, C 4,5, CART, K-NN, Random forest tree. 168 pp. Englisch. Codice articolo 9786200498908
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Signal Classification
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LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200498903
ISBN 13: 9786200498908
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yaman EmineEmine Yaman received the BS,MS and PhD degree in Medical Informatics and Computer Science from Vienna University of Technology, Austria.Her areas of interests are data mining, biomedical signal processing, artificial intel. Codice articolo 385892405
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Signal Classification | Comparison of Different Feature Extraction and Machine Learning Algorithms for EMG Signal Classification
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LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200498903
ISBN 13: 9786200498908
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Taschenbuch. Condizione: Neu. Signal Classification | Comparison of Different Feature Extraction and Machine Learning Algorithms for EMG Signal Classification | Emine Yaman | Taschenbuch | 168 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200498908 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 117948654
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Signal Classification
Editore:
LAP LAMBERT Academic Publishing Dez 2019, 2019
ISBN 10: 6200498903
ISBN 13: 9786200498908
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this study the EMG data that are collected from 25 subjects were analyzed. Two separate groups of myopathy and ALS patients and a control group are the participants of the research. Both females and males are included in the all groups. We preprocessed the EMG signals and used autoregressive method (AR) and discrete wavelet method (DWT) for feature extraction. Features are applied to various classification algorithms, namely Multilayer perceptron, C 4,5, CART, K-NN, Random forest tree.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch. Codice articolo 9786200498908
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Signal Classification : Comparison of Different Feature Extraction and Machine Learning Algorithms for EMG Signal Classification
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200498903
ISBN 13: 9786200498908
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this study the EMG data that are collected from 25 subjects were analyzed. Two separate groups of myopathy and ALS patients and a control group are the participants of the research. Both females and males are included in the all groups. We preprocessed the EMG signals and used autoregressive method (AR) and discrete wavelet method (DWT) for feature extraction. Features are applied to various classification algorithms, namely Multilayer perceptron, C 4,5, CART, K-NN, Random forest tree. Codice articolo 9786200498908
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Signal Classification: Comparison of Different Feature Extraction and Machine Learning Algorithms for EMG Signal Classification
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200498903
ISBN 13: 9786200498908
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paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA82362004989036
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