Artificial Intelligence in Medicine
Volume 44, Issue 3 , Pages 247-259 , November 2008

Fusion of classic P300 detection methods’ inferences in a framework of fuzzy labels

  • Gholamreza Salimi-Khorshidi

      Affiliations

    • School of Cognitive Sciences (SCS), Institute for Studies in Theoretical Physics and Mathematics (IPM), Tehran, Iran
    • Oxford Centre for Functional MRI of the Brain, Department of Clinical Neurology, University of Oxford, FMRIB Centre, J R Hospital, Headley Way, Headington, Oxford OX3 9DU, UK
    • Iranian Center of Excellence in Biomedical Engineering, Faculty of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
    • Corresponding Author InformationCorresponding author at: Oxford Centre for Functional MRI of the Brain, Department of Clinical Neurology, University of Oxford, FMRIB Centre, J R Hospital, Headley Way, Headington, Oxford OX3 9DU, UK. Tel.: +44 1865 222729; fax: +44 1865 222717.
  • ,
  • Ali Motie Nasrabadi

      Affiliations

    • Group of Biomedical Engineering, Faculty of Engineering, Shahed University, Tehran, Iran
  • ,
  • Mohammadreza Hashemi Golpayegani

      Affiliations

    • Iranian Center of Excellence in Biomedical Engineering, Faculty of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

Received 18 February 2007 ,Revised 15 June 2008 ,Accepted 16 June 2008.

To access this article, please choose from the options below

Login to an existing account or Register a new account.

  • Purchase this article for 31.50 USD (You must login/register to purchase this article)

    Online access for 24 hours. The PDF version can be downloaded as your permanent record.

  • Subscribe to this title

    Get unlimited online access to this article and all other articles in this title 24/7 for one year.

  • Claim access now

    For current subscribers with Society Membership or Account Number.

  • Visit SciVerse ScienceDirect to see if you have access via your institution.

PII: S0933-3657(08)00082-1

doi: 10.1016/j.artmed.2008.06.002

Artificial Intelligence in Medicine
Volume 44, Issue 3 , Pages 247-259 , November 2008