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 WestminsterResearch http://www.wmin.ac.uk/westminsterresearch EEG signal classifi cation usin g wavelet feature extraction and neural networks. Pari Jahankhani Vassilis K odogiannis Kenneth Revett Harrow School of Computer Science Copyright © [200 6] IEEE . Reprinted from th e pro ceedings of the J VA '0 6. IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing, 2006, pp. 52-57. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Westminster's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee .org. By choosing to view this document, you agree t o all provisions of the copyright laws protecting it. The WestminsterResearch online digital archive at the University of Westminster aims to make the research output of the University available to a wider audience. Copyright and Moral Rights remain with the authors and/or copyright owners. Users are permitted to download and/or print one copy for non-commercial private study or res earch. Further distri bution and any use o f material from within this archive for profit-making enterprises or for commercial gain is strictly forbidden. Whilst further distribution of specific materials from within this archive is forbidden, you may freely distribute the URL of the University of Westminster Eprints (http://www.wmin.ac.uk/westminsterresearch ). In case of abuse or copyright appearing without permission e-mail [email protected].
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EEG Signal Classification Using Wavelet Feature Extraction and Neural Network (1)

Apr 13, 2018

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Page 1: EEG Signal Classification Using Wavelet Feature Extraction and Neural Network (1)

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