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dc.contributor.authorHema, Chengalvarayan Radhakrishnamurthy
dc.contributor.authorMurugesan Pandiyan, Paulraj, Prof. Dr.
dc.contributor.authorSazali, Yaacob, Prof. Dr.
dc.contributor.authorAbdul Hamid, Adom, Dr.
dc.contributor.authorRamachandran, Nagarajan, Prof. Dr.
dc.date.accessioned2011-10-08T05:32:46Z
dc.date.available2011-10-08T05:32:46Z
dc.date.issued2011
dc.identifier.citationAdvances in Experimental Medicine and Biology, vol. 696 (7), 2011, pages 565-572en_US
dc.identifier.issn0065-2598
dc.identifier.urihttp://www.springerlink.com/content/w331415046r74551/fulltext.pdf
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/14072
dc.descriptionLink at publisher's homepage at http://www.springerlink.com/en_US
dc.description.abstractA brain machine interface (BMI) design for controlling the navigation of a power wheelchair is proposed. Real-time experiments with four able bodied subjects are carried out using the BMI-controlled wheelchair. The BMI is based on only two electrodes and operated by motor imagery of four states. A recurrent neural classifier is proposed for the classification of the four mental states. The real-time experiment results of four subjects are reported and problems emerging from asynchronous control are discussed.en_US
dc.language.isoenen_US
dc.publisherSpringerlinken_US
dc.subjectBrain machine interface (BMI)en_US
dc.subjectWheelchairen_US
dc.subjectElectroencephalographyen_US
dc.subjectMan machine interactionen_US
dc.subjectAsynchronousen_US
dc.titleAsynchronous brain machine interface-based control of a wheelchairen_US
dc.typeArticleen_US
dc.contributor.urlhema@unimap.edu.myen_US


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