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Synopsis
1. In this book, a novel brain-computer interface (BCI) system is proposed to analyze motor imagery (MI) electroencephalogram (EEG) signals. 2. After eliminating EOG artifacts automatically and extracting features by wavelet-based phase synchronization approach, support vector machine (SVM) is adopted for the classification of single-trial left and right MI data. 3. The EOG artifacts are automatically removed by means of modified independent component analysis (ICA). 4. The features are extracted from wavelet data by phase synchronization, and then classified by the SVM. 5. Compared with the results without EOG artifact removal, spectral band and AR model features, the proposed system achieves satisfactory results in BCI applications.
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About the Author
Wei-Yen Hsu received the Ph.D. degree in the Department of CSIE, National Cheng Kung University, Tainan, Taiwan, in 2008. He is an assistant professor in the Department of Information Management, National Chung Cheng University now. His research interests include medical image processing, biomedical signal processing and neuroscience methods.
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Automatic Noise Removal and Phase Synchronization for MI EEG Analysis
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LAP LAMBERT Academic Publishing Apr 2013, 2013
ISBN 10: 3659382434
ISBN 13: 9783659382437
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -1. In this book, a novel brain-computer interface (BCI) system is proposed to analyze motor imagery (MI) electroencephalogram (EEG) signals. 2. After eliminating EOG artifacts automatically and extracting features by wavelet-based phase synchronization approach, support vector machine (SVM) is adopted for the classification of single-trial left and right MI data. 3. The EOG artifacts are automatically removed by means of modified independent component analysis (ICA). 4. The features are extracted from wavelet data by phase synchronization, and then classified by the SVM. 5. Compared with the results without EOG artifact removal, spectral band and AR model features, the proposed system achieves satisfactory results in BCI applications. 52 pp. Englisch. Seller Inventory # 9783659382437
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Automatic Noise Removal and Phase Synchronization for MI EEG Analysis
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659382434
ISBN 13: 9783659382437
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Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hsu Wei-YenWei-Yen Hsu received the Ph.D. degree in the Department of CSIE, National Cheng Kung University, Tainan, Taiwan, in 2008. He is an assistant professor in the Department of Information Management, National Chung Cheng Unive. Seller Inventory # 5152548
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Automatic Noise Removal and Phase Synchronization for MI EEG Analysis
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659382434
ISBN 13: 9783659382437
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Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 1. In this book, a novel brain-computer interface (BCI) system is proposed to analyze motor imagery (MI) electroencephalogram (EEG) signals. 2. After eliminating EOG artifacts automatically and extracting features by wavelet-based phase synchronization approach, support vector machine (SVM) is adopted for the classification of single-trial left and right MI data. 3. The EOG artifacts are automatically removed by means of modified independent component analysis (ICA). 4. The features are extracted from wavelet data by phase synchronization, and then classified by the SVM. 5. Compared with the results without EOG artifact removal, spectral band and AR model features, the proposed system achieves satisfactory results in BCI applications. Seller Inventory # 9783659382437
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Automatic Noise Removal and Phase Synchronization for MI EEG Analysis
Published by
LAP LAMBERT Academic Publishing Apr 2013, 2013
ISBN 10: 3659382434
ISBN 13: 9783659382437
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Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -1. In this book, a novel brain-computer interface (BCI) system is proposed to analyze motor imagery (MI) electroencephalogram (EEG) signals. 2. After eliminating EOG artifacts automatically and extracting features by wavelet-based phase synchronization approach, support vector machine (SVM) is adopted for the classification of single-trial left and right MI data. 3. The EOG artifacts are automatically removed by means of modified independent component analysis (ICA). 4. The features are extracted from wavelet data by phase synchronization, and then classified by the SVM. 5. Compared with the results without EOG artifact removal, spectral band and AR model features, the proposed system achieves satisfactory results in BCI applications.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 52 pp. Englisch. Seller Inventory # 9783659382437
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Automatic Noise Removal and Phase Synchronization for MI EEG Analysis
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659382434
ISBN 13: 9783659382437
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Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Automatic Noise Removal and Phase Synchronization for MI EEG Analysis | Wei-Yen Hsu | Taschenbuch | 52 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659382437 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 105999303