Online Adaptive Brain–Computer Interface for Stroke Rehabilitation
碩士 === 國立交通大學 === 電子工程學系 電子研究所 === 104 === The electroencephalographic (EEG) signals based brain-computer interface (BCI) system help stroke rehabilitation but face the signal nonstationary problem and results in lower effectiveness. To solve this problem, this thesis proposes an online adaptive BCI...
Main Authors: | Wang, Yun-Chi, 王韻綺 |
---|---|
Other Authors: | Chang, Tian-Sheuan |
Format: | Others |
Language: | en_US |
Published: |
2015
|
Online Access: | http://ndltd.ncl.edu.tw/handle/49516912218409784597 |
Similar Items
-
Real-Time Visual Feedback Brain Computer Interface for Stroke Rehabilitation
by: Lai, Ting-wei, et al.
Published: (2016) -
Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review
by: Paul Dominick E. Baniqued, et al.
Published: (2021-01-01) -
Dose-response relationships using brain-computer interface technology impact stroke rehabilitation
by: Brittany Mei Young, et al.
Published: (2015-06-01) -
NCyborg Project – A new stroke rehabilitation pattern based on brain computer interface
by: Qi Huang, et al.
Published: (2021-06-01) -
Paired Associative Stimulation using Brain-Computer Interfaces for Stroke Rehabilitation: A Pilot study
by: Woosang Cho, et al.
Published: (2016-06-01)