Wheelchair Navigation with an Audio-cued, Two-Class Motor Imagery-based Brain-Computer Interface System

被引：0
|
作者：
Varona-Moya, Sergio [1 ]
Velasco-Alvarez, Francisco [1 ]
Sancha-Ros, Salvador [1 ]
Fernandez-Rodriguez, Alvaro [1 ]
Blanca, Maria J. [2 ]
Ron-Angevin, Ricardo [1 ]
机构：
[1] Univ Malaga, Andalucia Tech, Dept Tecnol Elect, Campus Teatinos S-N, E-29071 Malaga, Spain
[2] Univ Malaga, Andalucia Tech, Dept Psicobiol & Metodol Ciencias Comportamiento, E-29071 Malaga, Spain
来源：
2015 7TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER) | 2015年
关键词：
COMMUNICATION;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Driving a real wheelchair by means of a brain-computer interface (BCI) system must be a reliable option for locked-in patients. Such navigation should also be autonomous, i.e., not depending on a ground chart. In this work we test the feasibility of driving a customized robotic wheelchair with a BCI system that our group has used in previous studies with virtual and real mobile robots. The results obtained from a sample of three healthy naive participants suggest that it is an effective option, which could ultimately provide locked-in patients with greater autonomy and quality of life.
引用
收藏
页码：174 / 177
页数：4
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