Items related to EEG Signal Feature Extraction and Classification Analysis
- PublisherLAP LAMBERT Academic Publishing
- Publication date2018
- ISBN 10 6138346874
- ISBN 13 9786138346876
- BindingPaperback
- LanguageEnglish
- Number of pages124
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EEG Signal Feature Extraction and Classification Analysis
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LAP LAMBERT Academic Publishing Mrz 2018, 2018
ISBN 10: 6138346874
ISBN 13: 9786138346876
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In modern techniques Electroencephalogram (EEG) base emotion recognition is a new area with challenging issue concerning the induction of emotion state diagnosis. There are different techniques for analysis mental diagnosis which helps to further clinical assessment. EEG signal generally contains enormous measures of data with uncountable classifications. The signals turn ought more difficult amid assessing task if the data is captured over a long period. The powerful methodologies are important to secure the hidden and significant data delivered by the action in human cerebrum that covered inside the signals. In this manner, relevant strategies are produced to developed classify data. There are bunches of past researchers and works related to the previously mentioned task, both feature extraction and classification have not been all around created in accomplishing more prominent precision. In this research, methodologies are proposed for the classification arrangement of EEG which can give high precision. The main object is two pattern recognition methods implemented such as Radial Basis Function, Support Vector Machine to explore the appropriate feature and classification 124 pp. Englisch. Seller Inventory # 9786138346876
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EEG Signal Feature Extraction and Classification Analysis
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138346874
ISBN 13: 9786138346876
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In modern techniques Electroencephalogram (EEG) base emotion recognition is a new area with challenging issue concerning the induction of emotion state diagnosis. There are different techniques for analysis mental diagnosis which helps to further clinical assessment. EEG signal generally contains enormous measures of data with uncountable classifications. The signals turn ought more difficult amid assessing task if the data is captured over a long period. The powerful methodologies are important to secure the hidden and significant data delivered by the action in human cerebrum that covered inside the signals. In this manner, relevant strategies are produced to developed classify data. There are bunches of past researchers and works related to the previously mentioned task, both feature extraction and classification have not been all around created in accomplishing more prominent precision. In this research, methodologies are proposed for the classification arrangement of EEG which can give high precision. The main object is two pattern recognition methods implemented such as Radial Basis Function, Support Vector Machine to explore the appropriate feature and classification. Seller Inventory # 9786138346876
Quantity: 1 available
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EEG Signal Feature Extraction and Classification Analysis
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138346874
ISBN 13: 9786138346876
New
Softcover
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: Pradhan Manini MonalisaManini Monalisa Pradhan completed her B.Tech and M.Tech from the Biju Pattanaik University of Technology, Odisha, India. Her research interests lie in the area of Medical Image Processing, Signal Processing, . Seller Inventory # 385847537
Quantity: Over 20 available