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...
保存先:
| 第一著者: | |
|---|---|
| フォーマット: | 学位論文 |
| 言語: | English |
| 出版事項: |
2016
|
| 主題: | |
| 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 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|