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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主要作者: | Hamedi, Mahyar |
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格式: | Thesis |
語言: | English |
出版: |
2016
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主題: | |
在線閱讀: | 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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