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A study on the BCI-Robot assisted stroke rehabilitation framework using brain hemodynamic signals

Title
A study on the BCI-Robot assisted stroke rehabilitation framework using brain hemodynamic signals
Authors
Abibullaev, BerdakhAn, Jin UngLee, Seung HyunJin, Sang HyeonMoon, Jeon Il
DGIST Authors
Abibullaev, Berdakh; An, Jin Ung; Jin, Sang Hyeon; Moon, Jeon Il
Issue Date
2012
Citation
2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012, 500-504
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
Abstract
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. Copyright © 2012 IEEE.
URI
http://hdl.handle.net/20.500.11750/1813
DOI
10.1109/URAI.2012.6463052
Publisher
Korea Robotics Society
Related Researcher
Files:
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Collection:
ETC2. Conference Papers
Division of IoT∙Robotics Convergence Research2. Conference Papers


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