TY - GEN
T1 - A study on the BCI-Robot assisted stroke rehabilitation framework using brain hemodynamic signals
AU - Abibullaev, Berdakh
AU - An, Jinung
AU - Lee, Seung Hyun
AU - Jin, Sang Hyeon
AU - Moon, Jeon Il
PY - 2012/12/1
Y1 - 2012/12/1
N2 - Using BCI technologies in neural rehabilitation, we can substantially improve hundreds of lives of people after stroke with more effective rehabilitation in restoration of their motor control. In this study, we demonstrate a neuro-rehabilitation framework which integrates BCI and a robot device to provide an active upper limb physical therapy. Our target population for neuro-rehabilitation are patients with cerebro-vascular brain damage and who lost their motor control on their upper limbs. We analyze brain hemodynamic responses as a neural features associated with a cognitive task and decoding is performed using support vector machine classifiers. The decoded commands from neural signals are sent in real-time to control a phantom haptic device into desired two directions. The experimental setup is validated with seven healthy subjects and the obtained empirical results shows the feasibility of this approach for stroke rehabilitation purposes.
AB - Using BCI technologies in neural rehabilitation, we can substantially improve hundreds of lives of people after stroke with more effective rehabilitation in restoration of their motor control. In this study, we demonstrate a neuro-rehabilitation framework which integrates BCI and a robot device to provide an active upper limb physical therapy. Our target population for neuro-rehabilitation are patients with cerebro-vascular brain damage and who lost their motor control on their upper limbs. We analyze brain hemodynamic responses as a neural features associated with a cognitive task and decoding is performed using support vector machine classifiers. The decoded commands from neural signals are sent in real-time to control a phantom haptic device into desired two directions. The experimental setup is validated with seven healthy subjects and the obtained empirical results shows the feasibility of this approach for stroke rehabilitation purposes.
KW - Brain-computer interface
KW - Functional near-infrared spectroscopy
KW - SVM
KW - Stroke
KW - Upper-limb rehabilitation
UR - http://www.scopus.com/inward/record.url?scp=84874705346&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84874705346&partnerID=8YFLogxK
U2 - 10.1109/URAI.2012.6463052
DO - 10.1109/URAI.2012.6463052
M3 - Conference contribution
AN - SCOPUS:84874705346
SN - 9781467331104
T3 - 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012
SP - 500
EP - 504
BT - 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012
T2 - 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012
Y2 - 26 November 2012 through 29 November 2012
ER -