A clinical evaluation of non-invasive motor imagery-based brain-computer interface in stroke.
This clinical study investigates whether the performance of hemiparetic stroke patients operating a non-invasive Motor Imagery-based Brain-Computer Interface (MI-BCI) is comparable to healthy subjects. The study is performed on 8 healthy subjects and 35 BCI-naïve hemiparetic stroke patients. This study also investigates whether the performance of the stroke patients in operating MI-BCI correlates with the extent of neurological disability. The performance is objectively computed from the 10 x 10-fold cross-validation accuracy of employing the Filter Bank Common Spatial Pattern (FBCSP) algorithm on their EEG measurements. The neurological disability is subjectively estimated using the Fugl-Meyer Assessment (FMA) of the upper extremity. The results show that the performance of BCI-naïve hemiparetic stroke patients is comparable to healthy subjects, and no correlation is found between the accuracy of their performance and their motor impairment in terms of FMA.
Ang
Kai Keng
KK
Institute for Infocomm Research, Agency for Science, Technology and Research (ASTAR), 21 Heng Mui Keng Terrace, Singapore 119613. kkang@i2r.astar.edu.sg
Guan
Cuntai
C
Chua
Karen Sui Geok
KS
Ang
Beng Ti
BT
Kuah
Christopher Wee Keong
CW
Wang
Chuanchu
C
Phua
Kok Soon
KS
Chin
Zheng Yang
ZY
Zhang
Haihong
H
D000465:Algorithms; D001185:Artificial Intelligence; D001921:Brain / Q000502:physiology*; D016022:Case-Control Studies; D005071:Evoked Potentials / Q000502:physiology; D006801:Humans; D007092:Imagination / Q000502:physiology; D009068:Movement / Q000502:physiology*; D009422:Nervous System Diseases / Q000534:rehabilitation; D010291:Paresis / Q000534:rehabilitation; D015203:Reproducibility of Results; D000071939:Stroke Rehabilitation; D014584:User-Computer Interface