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Focusing on advanced methodologies, this book explores the detection of epileptic seizures and the identification of mental states within brain-computer interface systems using EEG signals. It presents innovative techniques designed to extract critical information from EEG data, enhancing the accuracy of abnormality detection. These new methods aim to streamline current practices, reducing the time and 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
- 2017
- product-detail.submit-box.info.binding
- (Hardcover)
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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
- 2017
- Format
- Hardcover
- Pages
- 272
- ISBN13
- 9783319476520
- Category
- Computers, IT, Programming
- Description
- Focusing on advanced methodologies, this book explores the detection of epileptic seizures and the identification of mental states within brain-computer interface systems using EEG signals. It presents innovative techniques designed to extract critical information from EEG data, enhancing the accuracy of abnormality detection. These new methods aim to streamline current practices, reducing the time and errors associated with traditional approaches in analyzing EEG signals.