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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032184353 ISBN 13: 9781032184357
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Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659133248 ISBN 13: 9783659133244
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Taschenbuch. Condition: Neu. Fuzzy Genetic Algorithms, SVM Methods for Epilepsy Classification | Fuzzy Genetic Algorithms, SVM and Statistical Analysis in Classification of Diabetic Epilepsy Risk Level from EEG Signal | Harikumar Rajaguru (u. a.) | Taschenbuch | 116 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659133244 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659133248 ISBN 13: 9783659133244
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032184353 ISBN 13: 9781032184357
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032184353 ISBN 13: 9781032184357
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032184353 ISBN 13: 9781032184357
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032184353 ISBN 13: 9781032184357
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032184353 ISBN 13: 9781032184357
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032184353 ISBN 13: 9781032184357
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Published by Chapman and Hall/CRC, 2024
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032184353 ISBN 13: 9781032184357
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032184353 ISBN 13: 9781032184357
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032184353 ISBN 13: 9781032184357
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Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659133248 ISBN 13: 9783659133244
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Epileptic seizures result from a sudden electrical disturbance to the brain. Approximately one in every 100 persons will experience a seizure at some time in their life. In this work, we propose a genetic algorithm, SVM based fuzzy knowledge integration framework that is used for classification of risk level of epilepsy in diabetic patients from Electroencephalogram (EEG) signals. A statistical analysis of the EEG signal to indicate the onset of epilepsy based on chi square tests and control limits. Ten known diabetic patients with raw EEG recording are studied. Chapter 1 introduces the features of EEG signals and focus of the research. Chapter 2 discusses about Statistical analysis and quantification of Diabetic epilepsy risk through Chi-square tests. Chapter 3 reviews the fundamentals of fuzzy systems. Chapter 4 enumerates the Genetic algorithms for optimization of epilepsy risk levels. SVM techniques as a post classifier for epilepsy detection are discussed in Chapter 5. Results are discussed in Chapter 6. Chapter 7 brings out the conclusion. Chapter 8 shows the Future scope. This monograph is useful for all Engineering undergraduate, graduates students and practicing engineers.
Language: English
Published by Chapman And Hall/CRC Mär 2024, 2024
ISBN 10: 1032184353 ISBN 13: 9781032184357
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Sharon Chiang is a research fellow in the Department of Physiology and instructor in the Epilepsy Division in the Department of Neurology at the University of California, San Francisco, USA. Her research focuses on development of methods for state.
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Language: English
Published by Chapman And Hall/CRC, 2024
ISBN 10: 1032184353 ISBN 13: 9781032184357
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