progress in natural scienceyijun/pdfs/pns07.pdfthis article was downloaded by:[cdl journals account]...

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This article was downloaded by:[CDL Journals Account] On: 1 March 2008 Access Details: [subscription number 789921172] Publisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered office: Mortimer House, 37-41 Mortimer Street, London W1T 3JH, UK Progress in Natural Science Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t713724104 Feature combination for classifying single-trial ECoG during motor imagery of different sessions Wei Quigguo ab ; Meng Fei a ; Wang Yijun a ; Gao Xiaorong a ; Goa Shangkai a a Department of Biomedical Engineering, School of Medicine, TsinghuaUniversity, Beijing, China b Department of Electronic Engineering, School of Information, Nanchang University, Nanchang, China Online Publication Date: 01 July 2007 To cite this Article: Quigguo, Wei, Fei, Meng, Yijun, Wang, Xiaorong, Gao and Shangkai, Goa (2007) 'Feature combination for classifying single-trial ECoG during motor imagery of different sessions ', Progress in Natural Science, 17:7, 851 - 858 To link to this article: DOI: 10.1080/10002007088537482 URL: http://dx.doi.org/10.1080/10002007088537482 PLEASE SCROLL DOWN FOR ARTICLE Full terms and conditions of use: http://www.informaworld.com/terms-and-conditions-of-access.pdf This article maybe used for research, teaching and private study purposes. Any substantial or systematic reproduction, re-distribution, re-selling, loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material.

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  • This article was downloaded by:[CDL Journals Account]On: 1 March 2008Access Details: [subscription number 789921172]Publisher: Taylor & FrancisInforma Ltd Registered in England and Wales Registered Number: 1072954Registered office: Mortimer House, 37-41 Mortimer Street, London W1T 3JH, UK

    Progress in Natural SciencePublication details, including instructions for authors and subscription information:http://www.informaworld.com/smpp/title~content=t713724104

    Feature combination for classifying single-trial ECoGduring motor imagery of different sessionsWei Quigguo ab; Meng Fei a; Wang Yijun a; Gao Xiaorong a; Goa Shangkai aa Department of Biomedical Engineering, School of Medicine, TsinghuaUniversity,Beijing, Chinab Department of Electronic Engineering, School of Information, Nanchang University,Nanchang, China

    Online Publication Date: 01 July 2007To cite this Article: Quigguo, Wei, Fei, Meng, Yijun, Wang, Xiaorong, Gao andShangkai, Goa (2007) 'Feature combination for classifying single-trial ECoG duringmotor imagery of different sessions ', Progress in Natural Science, 17:7, 851 - 858To link to this article: DOI: 10.1080/10002007088537482

    URL: http://dx.doi.org/10.1080/10002007088537482

    PLEASE SCROLL DOWN FOR ARTICLE

    Full terms and conditions of use: http://www.informaworld.com/terms-and-conditions-of-access.pdf

    This article maybe used for research, teaching and private study purposes. Any substantial or systematic reproduction,re-distribution, re-selling, loan or sub-licensing, systematic supply or distribution in any form to anyone is expresslyforbidden.

    The publisher does not give any warranty express or implied or make any representation that the contents will becomplete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should beindependently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings,demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with orarising out of the use of this material.

    http://www.informaworld.com/smpp/title~content=t713724104http://dx.doi.org/10.1080/10002007088537482http://www.informaworld.com/terms-and-conditions-of-access.pdf

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