| 书目名称 | EEG Signal Analysis and Classification |
| 副标题 | Techniques and Appli |
| 编辑 | Siuly Siuly,Yan Li,Yanchun Zhang |
| 视频video | |
| 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 |
| 丛书名称 | Health Information Science |
| 图书封面 |  |
| 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 |
| 关键词 | Electroencephalogram (EEG); Epileptic seizure; Feature extraction; Classification; Brain computer interf |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-47653-7 |
| isbn_softcover | 978-3-319-83791-8 |
| isbn_ebook | 978-3-319-47653-7Series ISSN 2366-0988 Series E-ISSN 2366-0996 |
| issn_series | 2366-0988 |
| copyright | Springer International Publishing AG 2016 |
发表于 2025-3-21 19:52:25
