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Focusing on advanced methodologies, this book addresses the detection of epileptic seizures and the identification of mental states in brain-computer interface systems using EEG signals. It introduces innovative techniques that enhance the extraction of critical information from EEG data, aiming to improve the accuracy of abnormality detection. The proposed methods seek to streamline current practices, reducing the time and potential errors associated with traditional approaches in analyzing EEG signals.
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EEG Signal Analysis and Classification, Siuly Siuly, Yan Li, Yanchun Zhang
- Language
- Released
- 2018
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- (Paperback)
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- Title
- EEG Signal Analysis and Classification
- Subtitle
- Techniques and Applications
- Language
- English
- Authors
- Siuly Siuly, Yan Li, Yanchun Zhang
- Publisher
- Springer International Publishing
- Released
- 2018
- Format
- Paperback
- Pages
- 272
- ISBN13
- 9783319837918
- Category
- Computers, IT, Programming
- Description
- Focusing on advanced methodologies, this book addresses the detection of epileptic seizures and the identification of mental states in brain-computer interface systems using EEG signals. It introduces innovative techniques that enhance the extraction of critical information from EEG data, aiming to improve the accuracy of abnormality detection. The proposed methods seek to streamline current practices, reducing the time and potential errors associated with traditional approaches in analyzing EEG signals.