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

页码：174 / 177

页数：4

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