@article{(Open Science Index):https://publications.waset.org/pdf/10001604,
	  title     = {Motor Imagery Based Brain-Computer Interface for Cerebellar Impaired Patients},
	  author    = {Young-Seok Choi},
	  country	= {},
	  institution	= {},
	  abstract     = {Cerebellar ataxia is a steadily progressive
neurodegenerative disease associated with loss of motor control,
leaving patients unable to walk, talk, or perform activities of daily
living. Direct motor instruction in cerebella ataxia patients has limited
effectiveness, presumably because an inappropriate closed-loop
cerebellar response to the inevitable observed error confounds motor
learning mechanisms. Could the use of EEG based BCI provide
advanced biofeedback to improve motor imagery and provide a
“backdoor” to improving motor performance in ataxia patients? In
order to determine the feasibility of using EEG-based BCI control in
this population, we compare the ability to modulate mu-band power
(8-12 Hz) by performing a cued motor imagery task in an ataxia
patient and healthy control.},
	    journal   = {International Journal of Biomedical and Biological Engineering},
	  volume    = {9},
	  number    = {5},
	  year      = {2015},
	  pages     = {431 - 434},
	  ee        = {https://publications.waset.org/pdf/10001604},
	  url   	= {https://publications.waset.org/vol/101},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 101, 2015},
	}