يعرض 1 - 5 نتائج من 5 نتيجة بحث عن '"Sagila Gangadharan, K."', وقت الاستعلام: 0.88s تنقيح النتائج
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    دورية أكاديمية

    المؤلفون: Sagila, Gangadharan K, Vinod, A P

    المصدر: Journal of Neural Engineering ; volume 19, issue 5, page 056004 ; ISSN 1741-2560 1741-2552

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    مؤتمر

    العلاقة: http://repository.ust.hk/ir/Record/1783.1-116467Test; BioSMART 2021 - Proceedings: 4th International Conference on Bio-Engineering for Smart Technologies, December 2021, article number 9677887; https://doi.org/10.1109/BioSMART54244.2021.9677887Test; http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2021&rft.spage=&rft.aulastTest=Sagila+Gangadharan&rft.aufirst=&rft.atitle=Maximum+Variance-based+EEG+Time+Bin+Selection+for+Decoding+of+Imagined+Hand+Movement+Directions+in+Brain+Computer+Interface&rft.title=BioSMART+2021+-+Proceedings%3A+4th+International+Conference+on+Bio-Engineering+for+Smart+Technologies; http://www.scopus.com/record/display.url?eid=2-s2.0-85125331669&origin=inwardTest

    الإتاحة: https://doi.org/10.1109/BioSMART54244.2021.9677887Test
    http://repository.ust.hk/ir/Record/1783.1-116467Test
    http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2021&rft.spage=&rft.aulastTest=Sagila+Gangadharan&rft.aufirst=&rft.atitle=Maximum+Variance-based+EEG+Time+Bin+Selection+for+Decoding+of+Imagined+Hand+Movement+Directions+in+Brain+Computer+Interface&rft.title=BioSMART+2021+-+Proceedings%3A+4th+International+Conference+on+Bio-Engineering+for+Smart+Technologies
    http://www.scopus.com/record/display.url?eid=2-s2.0-85125331669&origin=inwardTest

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    مؤتمر

    مصطلحات موضوعية: Band power, EEG, Sample entropy, Sleep-awake

    العلاقة: http://repository.ust.hk/ir/Record/1783.1-106483Test; IEEE Region 10 Annual International Conference, Proceedings/TENCON / IEEE. Piscataway, NJ : IEEE, 2019, p. 2300-2304, Article number 8929259; https://doi.org/10.1109/TENCON.2019.8929259Test; http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=2159-3442&rft.volume=vTest. 2019-October&rft.issue=&rft.date=2019&rft.spage=2300&rft.aulast=Sagila&rft.aufirst=G.K.&rft.atitle=EEG+Based+Sleep-Awake+Classification+Using+Sample+Entropy+and+Band+Power+Ratio&rft.title=IEEE+Region+10+Annual+International+Conference,+Proceedings%2FTENCON; http://www.scopus.com/record/display.url?eid=2-s2.0-85077713912&origin=inwardTest; http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000528677800424Test