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Titlebook: EEG Signal Analysis and Classification; Techniques and Appli Siuly Siuly,Yan Li,Yanchun Zhang Book 2016 Springer International Publishing A

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發(fā)表于 2025-3-21 19:52:25 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱EEG Signal Analysis and Classification
副標(biāo)題Techniques and Appli
編輯Siuly Siuly,Yan Li,Yanchun Zhang
視頻videohttp://file.papertrans.cn/301/300362/300362.mp4
概述Presents innovative methodologies in two emerging fields, including epileptic seizure detection and mental state identification for brain computer interface.Discusses the applications of developed met
叢書名稱Health Information Science
圖書封面Titlebook: EEG Signal Analysis and Classification; Techniques and Appli Siuly Siuly,Yan Li,Yanchun Zhang Book 2016 Springer International Publishing A
描述This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems. The proposed methods enable the extraction of this vital information from EEG signals in order to accurately detect abnormalities revealed by the EEG. New methods will relieve the time-consuming and error-prone practices that are currently in use.?.Common signal processing methodologies include wavelet transformation and Fourier transformation, but these methods are not capable of managing the size of EEG data.?.Addressing the issue, this book examines new EEG signal analysis approaches with a combination of statistical techniques (e.g. random sampling, optimum allocation) and machine learning methods. The developed methods provide better results than the existing methods. The book also offers applications of the developedmethodologies that have been tested on several real-time benchmark databases..This book concludes with thoughts on the future of the field and anticipated research challenges. It gives new direction to the field of analysis and classification of EEG signa
出版日期Book 2016
關(guān)鍵詞Electroencephalogram (EEG); Epileptic seizure; Feature extraction; Classification; Brain computer interf
版次1
doihttps://doi.org/10.1007/978-3-319-47653-7
isbn_softcover978-3-319-83791-8
isbn_ebook978-3-319-47653-7Series ISSN 2366-0988 Series E-ISSN 2366-0996
issn_series 2366-0988
copyrightSpringer International Publishing AG 2016
The information of publication is updating

書目名稱EEG Signal Analysis and Classification影響因子(影響力)




書目名稱EEG Signal Analysis and Classification影響因子(影響力)學(xué)科排名




書目名稱EEG Signal Analysis and Classification網(wǎng)絡(luò)公開度




書目名稱EEG Signal Analysis and Classification網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱EEG Signal Analysis and Classification被引頻次




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https://doi.org/10.1007/978-3-319-47653-7Electroencephalogram (EEG); Epileptic seizure; Feature extraction; Classification; Brain computer interf
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978-3-319-83791-8Springer International Publishing AG 2016
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2366-0988 mputer interface.Discusses the applications of developed metThis book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems. The proposed methods enable
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