Paper Info
Title
Enhancement of cortical activation for motor imagery during BCI-FES training*.
Abstract
Brain-computer Interfaces (BCIs) provide a direct pathway between the brain and the outward environment. Specifically, motor imagery (MI)-based BCI controlling functional electric stimulation (FES) is a promising approach for disabled patients with intact mind to restore or rehabilitate their motor functions. This study probed for the improvement of cortical activation for motor imagery during the closed-loop BCI-FES training. We used electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) to inspect the cortical activation for four different training strategies, i.e. MI-BCI-FES, MI-FES, MI and FES. Compared with the other three training conditions, the MI-BCI-FES could achieve stronger cortical activation viewing from the event-related desynchronization (ERD) and the blood oxygen response. The results demonstrate that the closed-loop MI training using BCI-FES can prospectively increase the cortical activation of motor cortical areas.
Year
DOI
Venue
2018
10.1109/EMBC.2018.8512749
EMBC
Field
DocType
Volume
Computer vision,Neuroscience,Computer science,Brain–computer interface,Direct pathway of movement,Artificial intelligence,Electroencephalography,Motor imagery
Conference
2018
Citations 
PageRank 
References 
0
0.34
0
Authors
11
Name
Order
Citations
PageRank
Zhongpeng Wang104.06
Long Chen201.01
Weibo Yi303.04
Bin Gu4101988.98
Shuang Liu5107.43
Xingwei An62111.88
Minpeng Xu72717.17
Hongzhi Qi84920.61
Feng He922.79
Baikun Wan1010416.90
Dong Ming1110551.47