DocumentCode :
2932021
Title :
Clinical study of neurorehabilitation in stroke using EEG-based motor imagery brain-computer interface with robotic feedback
Author :
Ang, Kai Keng ; Guan, Cuntai ; Chua, Karen Sui Geok ; Ang, Beng Ti ; Kuah, Christopher ; Wang, Chuanchu ; Phua, Kok Soon ; Chin, Zheng Yang ; Zhang, Haihong
Author_Institution :
Inst. for Infocomm Res., Agency for Sci., Technol. & Res. (A*STAR), Singapore, Singapore
fYear :
2010
fDate :
Aug. 31 2010-Sept. 4 2010
Firstpage :
5549
Lastpage :
5552
Abstract :
This clinical study investigates the ability of hemiparetic stroke patients in operating EEG-based motor imagery brain-computer interface (MI-BCI). It also assesses the efficacy in motor improvements on the stroke-affected upper limb using EEG-based MI-BCI with robotic feedback neurorehabilitation compared to robotic rehabilitation that delivers movement therapy. 54 hemiparetic stroke patients with mean age of 51.8 and baseline Fugl-Meyer Assessment (FMA) 14.9 (out of 66, higher = better) were recruited. Results showed that 48 subjects (89%) operated EEG-based MI-BCI better than at chance level, and their ability to operate EEG-based MI-BCI is not correlated to their baseline FMA (r=0.358). Those subjects who gave consent are randomly assigned to each group (N=11 and 14) for 12 1-hour rehabilitation sessions for 4 weeks. Significant gains in FMA scores were observed in both groups at post-rehabilitation (4.5, 6.2; p=0.032, 0.003) and 2-month post-rehabilitation (5.3, 7.3; p=0.020, 0.013), but no significant differences were observed between groups (p=0.512, 0.550). Hence, this study showed evidences that a majority of hemiparetic stroke patients can operate EEG-based MI-BCI, and that EEG-based MI-BCI with robotic feedback neurorehabilitation is effective in restoring upper extremities motor function in stroke.
Keywords :
brain-computer interfaces; electroencephalography; medical disorders; medical robotics; neurophysiology; EEG based MI-BCI; baseline Fugl-Meyer assessment; hemiparetic stroke patients; motor imagery brain-computer interface; neurorehabilitation; robotic feedback; stroke affected upper limb; upper extremity motor function; Accuracy; Brain computer interfaces; Calibration; Electroencephalography; Extremities; Medical treatment; Robots; Adult; Aged; Brain; Calibration; Demography; Electroencephalography; Feedback, Sensory; Female; Humans; Imagery (Psychotherapy); Male; Middle Aged; Motor Activity; Robotics; Stroke; User-Computer Interface; Young Adult;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4123-5
Type :
conf
DOI :
10.1109/IEMBS.2010.5626782
Filename :
5626782
Link To Document :
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