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Adaptive nonlinear multivariate brain connectivity analysis of motor imagery movements using graph theory

Recent studies on motor imagery (MI)-based brain computer interaction (BCI) reported that the interaction of spatially separated brain areas in forms of functional or effective connectivity leads to a better insight of brain neural patterns during MI movements and can provide useful features for BCI...

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書誌詳細
第一著者:	Hamedi, Mahyar
フォーマット:	学位論文
言語:	English
出版事項:	2016
主題:	QH301 Biology
オンライン･アクセス:	http://eprints.utm.my/id/eprint/77707/1/MahyarHamediPFBME2016.pdf http://eprints.utm.my/id/eprint/77707/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:97527http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:97527
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